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Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology (DEEP&T) is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media : Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact : More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation : We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems. Job Summary: The Disney Growth, Commerce, and Identity Experience organization powers the foundational user experiences across Disney+, Hulu, ESPN+, and other Walt Disney Company business units. These experiences are built on a shared identity platform that enables secure, seamless authentication, registration, and account management for hundreds of millions of users globally. The Identity Client Experience team owns and evolves the client-side governance platform that powers trusted, compliant, and consistent user experiences across Disney's streaming ecosystem — including privacy and consent management, age verification, parental controls, Kids Mode, analytics governance, and policy-driven feature control. These systems are essential to ensuring every interaction across Disney+, Hulu, and ESPN+ is compliant by default, regionally adaptive, and consistent across web, mobile, and living room devices. We are seeking a Senior Software Engineer with strong cross-platform instincts and a passion for building secure, scalable, and policy-driven client experiences. In this role, you will design and develop core governance capabilities used across all of Disney's streaming platforms, collaborate closely with legal, privacy, product, and partner teams, and help shape the future of identity and data governance on the client. Responsibilities: Technical Leadership & Expertise Own the design, development, and successful deployment of medium-to-large size software solutions, ensuring performance, quality, scalability, and security. Drive software engineering best practices, including design, code quality, security and testability within the team. Exhibit deep and broad technical expertise, with hands-on proficiency in key functional/specialty areas. Serve as a primary technical resource for the team, offering guidance on technical issues and new feature development. Participate in the design and delivery of features that integrate with LLM-backed services. For example streaming chat surfaces, structured-output forms, retrieval-grounded search, and tool-use interactions, partnering with senior AI-application engineers on the team. Help establish and refine team practices for using AI coding tools (Cursor, Claude Code, or equivalent) effectively and responsibly in day-to-day development. Execution & Impact Solve complex technical problems with an innovative and experimental can-do attitude grounded by advanced technical skill and technique. Conduct thorough code reviews, focusing on requirements, design and coding standards, readability, testability, and optimization. Mentor and guide the work of less experienced engineers to develop solutions. Identify opportunities and recommend the development or implementation of solutions to improve products or processes with each iteration. Document technical details for assigned features, fixes, and projects. Autonomy & Influence Work independently with minimal guidance, applying judgment in selecting methods and techniques to resolve issues or satisfy requests. Make timely, informed technical decisions that moderately influence the work of team members and related projects. Participate in developing new technical approaches and tools. Communicate complex technical information effectively to both technical and non-technical audiences. Basic Qualifications: Minimum of 5 years of hands-on software engineering experience Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Strong problem-solving skills and ability to write clean, maintainable, scalable code Proficiency in TypeScript/JavaScript; experience building client-side features in web or device environments Experience building and consuming RESTful APIs and working with state management patterns Familiarity with authentication and authorization concepts Knowledge of CI/CD pipelines and deployment tooling (GitHub Actions, GitLab CI, or equivalent) Experience with testing frameworks for unit, integration, and/or end-to-end coverage Strong cross-functional communication skills Preferred Qualifications: Multi-Platform & Device Experience Experience shipping client features on at least one native or device platform: iOS (Swift), Android (Kotlin), Roku (BrightScript), or Web (TypeScript/JS) Familiarity with cross-platform SDK integration patterns and shared client library development Experience with server-side rendering and modern React frameworks. Experience building or contributing to a shared component library or design system at scale. Experience with real-time UIs — streaming responses, WebSockets/SSE, optimistic updates, partial rendering. Performance engineering experience — Core Web Vitals, bundle optimization, profiling, rendering performance. AI-assisted development Hands-on experience using agentic coding tools (Cursor, Claude Code, GitHub Copilot, or equivalent) as a regular part of your workflow — beyond inline autocomplete. Experience authoring durable project context for AI tools — AGENTS.md, CLAUDE.md, Cursor rules, custom skills, or comparable artifacts that encode team conventions. Familiarity with plan-first / spec-first workflows when working with coding agents (plan mode, milestones, review gates) and with structured review of AI-generated code (hallucinated APIs, plausible-but-wrong logic, security regressions, prompt-injection risk in agentic flows) AI application exposure (growth-area; not required) Experience integrating LLM APIs (OpenAI, Anthropic, Amazon Bedrock, Azure OpenAI, or equivalent) into web applications, even at the level of one or two shipped or seriously prototyped features. Experience building user-facing surfaces for LLM features — streaming UIs, tool-use / function-calling interactions, structured output rendering, citation and grounding UX, regeneration and interruption flows. Familiarity with the TypeScript AI ecosystem (Vercel AI SDK, Mastra, LangChain.js, official OpenAI/Anthropic TS SDKs, MCP clients) or working knowledge of the Python AI ecosystem (LangChain, LlamaIndex, evaluation frameworks). Awareness of LLM-application concerns in production: evaluation strategies (golden datasets, regression checks, LLM-as-judge with appropriate skepticism), observability and tracing (Langfuse, LangSmith, Helicone, OTel-based), token accounting, latency budgets, caching, and content safety. Awareness of AI-specific risks in user-facing surfaces — prompt injection via user input or retrieved content, output validation, PII handling, and responsible-use considerations. Domain & ways of working Experience building internal tools, developer platforms, or operations applications at scale. Experience working in a large, cross-functional engineering organization — coordinating across teams, navigating shared platforms, and contributing to org-wide standards. Experience in media, entertainment, sports, or streaming technology is a plus but not required. #DISNEYTECH The hiring range for this position in Seattle, WA and New York, NY is $148,700 to $199,400 and in Los Angeles, CA is $141,900 to $190,300 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job DescriptionDescription: Join the team shaping the future of healthcare! Medbridge is a dynamic software company working with the country’s largest healthcare providers to build technology solutions that help patients get better faster while decreasing the overall cost of care. The Data & Machine Learning team is building a secure, reliable data foundation that will power better decisions, intelligent product experiences, and improved care for millions of patients. We hire in the following states: AZ, CO, FL, GA, ID, IL, KS, MA, MI, MN, MO, NH, NY, NC, OH, OR, PA, SC, TN, TX, UT, VA, WA, and WI. Why work at Medbridge? • We are mission driven. Our mission is clear—we want to help everyone move well, feel well, and live well., • You’ll make an impact here. 300,000+ clinicians use our products daily, impacting millions of patients. The content you create helps them stay informed and deliver better care., • Our customers love Medbridge! We work with 9 of the top 10 private practice and hospital systems nationwide, and 6 of the top 10 home health organizations. The Staff Data Engineer is the senior individual contributor responsible for Medbridge’s data-platform architecture, security, reliability, and data movement. This is a hands-on role for someone who can simplify a developing environment while introducing the engineering rigor required for internal analytics, secure external use, AI workloads, and data-powered product experiences. Success means creating a simpler, more reliable experience for data producers and consumers, not merely moving complexity into new tools. The role partners closely with Analytics Engineering, DevOps, Data Science, Security, Product Engineering, ML, and the Integrations team, leading through influence rather than direct people management. In this role you will: • Own the target-state architecture and technical roadmap for Medbridge’s Snowflake-centered data platform, balancing security, reliability, usability, innovation, cost, and operational complexity., • Build and operate reliable data pipelines and integrations using strong Python and SQL engineering practices, covering ingestion, incremental processing, schema evolution, failure handling, retries, reconciliation, observability, and recovery across key operational and SaaS data sources., • Design and enforce Snowflake security and RBAC, applying least privilege, separation of duties, auditability, secure sharing, retention, monitoring, and appropriate access patterns for internal users, external use cases, service accounts, and AI workloads., • Establish production-grade engineering and platform operations, including testing, version control, code review, CI/CD, secrets management, environment promotion, deployment and rollback, service expectations, monitoring, alerting, incident response, and recovery., • Own data governance, contracts, and technical lineage, maintaining source-system ownership and inventory while establishing data contracts, schemas, interfaces, quality expectations, change management, deprecations, migrations, documentation, and clear communication of downstream impact., • Enable secure and reliable data delivery and consumption, creating reusable patterns and interfaces that move data from Snowflake into applications, APIs, analytics, ML/AI workloads, and customer-facing products while making data easier to discover, understand, access, and trust., • Lead cross-functional technical initiatives and raise engineering standards, partnering with Analytics Engineering, DevOps, Data Science, Security, Product Engineering, ML, and Integrations to establish pragmatic patterns, enable AI/ML workloads, evaluate build-versus-buy decisions, and continuously reduce unnecessary platform complexity. What will make you succeed: • Deep experience designing and operating cloud data platforms, including ingestion, orchestration, warehouse architecture, security, reliability, and production operations in regulated environments; healthcare experience is a plus, not a requirement., • Strong Snowflake expertise, including RBAC, contractual data separation, secure internal and external access patterns, secure views and sharing, warehouse and resource management, query and cost optimization, metadata, monitoring, and environment design., • Proven data pipeline expertise, building and operating batch and incremental pipelines with explicit failure handling, retries, reconciliation, observability, recovery, and clear ownership., • Strong Python and SQL engineering skills, with experience in modular design, testing, version control, code review, packaging, CI/CD, and maintainable interfaces., • Experience operating production data systems, including development, staging, and production workflows, deployment practices, and effective partnership with DevOps or platform engineering., • Experience delivering data beyond the warehouse, including applications, APIs, ML systems, reverse-ETL, or other operational consumers, with strong data contracts covering ownership, quality, compatibility, schema evolution, deprecation, and breaking-change communication., • Sound security and architectural judgment, including experience partnering with Security, Privacy, or Legal on sensitive or regulated data and making pragmatic build-versus-buy and managed-service decisions., • Strong technical communication and cross-functional leadership, with the ability to explain architecture, risks, incidents, and tradeoffs clearly; lead complex initiatives; establish standards; and influence without formal authority., • A self-directed, low-ego approach to engineering, favoring simple, supportable solutions, shared understanding, and a strong developer and data-consumer experience over unnecessary complexity., • A technical or quantitative degree, or equivalent capability demonstrated through professional experience. Preferred: • Advanced Snowflake security experience, including secure access for employees, external customers or partners, and AI or service workloads., • Experience building data-to-product capabilities, including warehouse-to-product or reverse-data flows and collaboration with application engineers on customer-facing data products., • Experience enabling ML/AI workloads in Snowflake, including Snowpark, Model Registry, ML Jobs, compute pools, containerized workloads, or comparable managed capabilities., • Experience modernizing developing data environments, with exposure to Openflow, dbt, Terraform, data catalogs, observability platforms, or healthcare interoperability/EHR/EMR ecosystems, while introducing operational rigor without over-engineering. Our Values: Excellence: A job worth doing is a job worth doing RIGHT. • We believe that excellence is never an accident. It’s the result of high intention, sincere effort, and intelligent execution., • We are change-makers who push the boundaries of what is possible, continually reimagining patient care., • We realize that our work impacts people’s health and demands that we hold ourselves to the highest possible standards., • We know a good thing when we see it; when exceptional talent comes our way, we hire them and help them grow., • We understand the value of time, and we give our best effort every day because we have a day in which to give it. Fortitude: Our goals are big. Our dedication is bigger. • We embrace ambitious and challenging projects with confidence in our ability to achieve them together., • We are courageous as we venture into the unknown., • We persevere in the face of difficulties., • We do not let perfection be the enemy of progress; we focus on taking the next best step forward., • We take ownership of our mistakes and of our successes, and we learn from both. Service: We work for something more important than ourselves. • We care deeply about our colleagues, customers, and patients, ensuring our work at Medbridge has a lasting impact., • We take a multi-disciplinary, data-oriented approach to solving problems., • We lead with confidence and humility, embracing a servant-leadership mindset as we support and challenge one another to reach our shared goals., • We know that if we do great work, we help people live healthier lives. Salary Range: $180,000 - $200,000 At Medbridge, salary ranges are assigned to a job based on 3rd party salary benchmark surveys. Individual pay within this range is informed by the candidate’s skills, capabilities, and experience. We embrace diversity and are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. No matter your background, your orientation, your identity expression, or whatever else makes you unique, if you want to raise the bar and join an amazing team of passionate people, then we’d love to work alongside you at Medbridge. Take the Next Step If you’re excited about this opportunity and think Medbridge is the right fit for your career, apply now! Our Talent Acquisition team will follow up with you shortly. Please note: Due to reports of phishing, we’re requesting that all Medbridge applicants apply through our official careers page at https://www.medbridge.com/careers. All official communication from Medbridge will come from email addresses ending with @medbridge.com. Requirements:

Job Description About Sentient The Sentient Foundation is building the open-source future of intelligence: AI aligned with humanity and never controlled by a single entity. We’re a neutral, transparent steward of the open AGI ecosystem, uniting researchers, builders, and communities through open research (ROMA, OML, Open Deep Search), global programs like the Open AGI Summit, and a fast-growing builder community. The role You’ll own Sentient’s relationship with the global open-source AI community. This includes developers building open models, tools, agents, data, and evals. You’ll be a credible champion for open-source AI as a whole, earn the trust of builders across the ecosystem, and bring the best of them and their projects into Sentient’s orbit. You’ll set community and ecosystem strategy, recruit builders to build on the open ecosystem broadly and on Sentient’s own stack (ROMA, ODS, EvoSkills, Arena, OML), and bring council members, advisors, and recognized thought leaders into the Foundation’s mission and governance. You’ll help drive our open-source AI grants and investment program, which backs great open-source AI wherever it’s built, and carry the community’s needs back into product and research. This is a senior, relationship-first leadership role for a recognized leader in open-source AI. What you'll do Own the Foundation’s community and ecosystem strategy for open-source AI broadly. Champion great open models, tools, agents, and evals across the ecosystem, with Sentient’s own stack (ROMA, ODS, EvoSkills, Arena, OML) as one important part of it. Stand up the programs, content, and team that get developers from zero to shipping. Champion open-source AI through writing and storytelling, such as tutorials, docs, blog posts, demos, and talks that help developers build with the best of the open ecosystem, including Sentient’s own contributions (ROMA, ODS, OML) where they’re the right tool. Support and help drive Sentient's open-source AI grants / investment program. Source promising projects and builders, vetting technical quality and fit, and shepherding funded teams as they build on the Stack. Lead and scale the developer community across Discord, GitHub, and X. Answer hard questions, review contributions, and turn power users into ecosystem partners. Recruit and convene ecosystem leaders. Bring council members, advisors, and recognized open-source thought leaders into the Foundation’s mission, programs, and governance. Represent Sentient at hackathons, conferences, and online; run developer workshops and contribute to open-source libraries. Be the developer's advocate internally: synthesize feedback into clear, prioritized input for product and research, and help shape SDK and API design. Partner with product, research, and growth to amplify developer success stories across the open-source AI ecosystem and onboard new agent, model, data, and compute partners into the open ecosystem and, where it fits, onto the Sentient Stack. What we're looking for 4+ years in developer relations, community, or ecosystem roles, ideally in open-source AI/ML, data, or infrastructure. Strong hands-on technical ability. You can read and write code (Python and/or TypeScript), work directly with agent frameworks and the open stack (ROMA, ODS, EvoSkills, Arena, OML), and go deep enough technically to earn the respect of serious open-source developers. 4+ years building open-source software yourself, with a deep personal network across the open-source AI developer community. You already know many of the developers, maintainers, and projects we want to reach, and they know you. A track record of recruiting and convening senior people ( founders, advisors, council members, or thought leaders) around a mission, and of being a recognized voice in an open-source or developer community. A working understanding of LLMs, AI agents, and agent frameworks, and the ability to explain complex technical ideas simply through writing, demos, and talks. A public portfolio of developer content, eg: tutorials, talks, demos, OSS contributions, or community building. Sound technical judgment for evaluating projects, for sourcing and vetting grant and investment candidates. Comfort with, or genuine curiosity about, Web3 / token incentive mechanics and on-chain interoperability. High user empathy, strong written communication, and a bias toward shipping. Nice to have Experience contributing to or maintaining open-source AI/ML projects. Familiarity with agent frameworks, model fine-tuning, evaluation/benchmarking, or decentralized/crypto ecosystems. Experience running or participating in a grants, accelerator, or developer-fund program. A track record of measurably growing a developer ecosystem. Why join Build and lead the community and ecosystem function for an open AGI network at the ground floor, work across the full open-source AI + Web3 stack (OML, ROMA, ODS, EvoSkills, Arena), help direct where grant capital flows, and help a 2M+ community build and own the next wave of AI agents.

Job Description At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. You'll likely spend time working on: • Empowering your engineering team to deliver high levels of technical quality and business impact., • Recruiting a diverse team of engineers recognized as some of the best in the industry, from outreach to closing., • Managing a team of engineers and facilitating their career development through challenging responsibilities and constructive feedback., • Actively participating in strategic direction and product decisions for your team., • Contributing to engineering-wide initiatives as a member of the Playlist engineering management team.About the right team member: You are an experienced engineer who has successfully transitioned into a people leader, passionate about building and operating reliable, scalable cloud platforms and developer infrastructure that empower engineering teams. You possess extensive experience in at least one aspect of developing a world-class cloud platform and can effectively manage a high-performing team throughout the entire process. You'll thrive in this role with experience in: • 3+ years of direct management experience with an engineering team of at least 6 members with skills across the stack, • Hands-on experience building and operating production cloud platforms and Kubernetes/CNCF ecosystems in the public cloud (AWS/GCP/Azure)., • Strong grounding in infrastructure-as-code and CI/CD (Terraform/Pulumi/CloudFormation, GitOps), with operational rigor across incident response, observability, networking, identity, compute, and storage at scale., • Proven ability to establish and articulate a vision, set goals, and execute effectively. Technologies you'll be working with: We value adaptability and problem-solving over specific tools, but here's what you'll likely work with: • Kubernetes, Kubernetes ecosystem (Karpenter, Keda, Flux, cert-manager, ExternalDNS), • Amazon Web Services (IAM, KMS, EKS, EC2, RDS, S3, SQS), • CI/CD tools (GitHub Actions, Azure Pipelines, Flux, Flagger), • Programming Languages (TypeScript, Go, Python, Bash) Pay Transparency It is Playlist's intent to pay all Team Members competitive wages and salaries that are motivational, fair, and equitable. The goal of Playlist's compensation program is to be transparent, attract potential employees, meet the needs of all current employees, and encourage Team Members to stay with our organization. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. The base salary range for this position in the United States is $151,000 - $201,000. The total compensation package for this position also includes a bonus target and a full benefits package. Have we piqued your curiosity? Sound like the role for you? We'd love to hear from you! Even if you're not 100% sure about potential fit, we still encourage you to apply. We're looking for the right person, not the perfect series of checkboxes. The Company is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics. By entering your email and phone number and submitting your application, you consent to receive emails, calls and SMS about your application and other roles at The Company, including by auto-dialer. Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a California resident or reside outside the United States then by submitting your application you confirm that you have read, understood, agree and - where applicable - grant your prior, free, informed and express consent for the processing of your personal information, including sensitive personal information, as described in our California Applicant Privacy Notice or International Applicant Privacy Notice (as applicable). Note: This description outlines key responsibilities but isn't intended to cover every task or duty. Additional responsibilities may be assigned as needed to support the team and business goals.

Job Description ABOUT LVT LVT is redefining how businesses operate in the physical world, moving beyond traditional security solutions to deliver AI-driven, actionable intelligence that makes sites smarter, safer, and more secure. Since pioneering our first mobile, solar-powered units, our commitment to scrappy, hands-on innovation has made us an established leader and one of the fastest-growing companies in intelligent site technology. We are building the next generation of solutions—from our physical units in the field to a powerful Agentic AI platform—that allows our customers to gain unprecedented visibility and control over safety, compliance, and operations. This is your chance to join a cutting-edge team that isn't just watching the world change, but actively building the technology that is changing it. We're a team that's focused on growth and innovation, and we're proud that our crew, products, and leadership are being recognized for it. • A Top-Tier Growth Company: Named one of the Financial Times' Fastest Growing Companies 2025 and #10 on the Inc. 5000 Rocky Mountain Regional list for 2025., • Innovative Leadership: Our CEO, Ryan Porter, was named an EY Entrepreneur of the Year 2025, and our CTO, Steve Lindsey, was inducted into the Silicon Slopes CTO Hall of Fame in 2024., • Product & Software Excellence: We were named one of The Software Report's Top 100 Software Companies of 2023 and are a winner of the Security Today Govies Award for 2025. ABOUT THIS ROLE We are seeking a Senior Engineering Manager to lead a high-performing engineering team building the next generation of Agentic AI and intelligent distributed systems at LVT. This role sits at the center of Physical AI innovation and requires a leader who combines strong engineering fundamentals with deep passion for emerging AI technologies. You will lead teams building AI-driven services, autonomous workflows, distributed systems, and platforms that connect cloud intelligence with edge devices operating in real-world environments. You will work closely with Product, Architecture, AI/ML, Edge, and Platform teams to transform large-scale streams of sensor and video data into actionable intelligence. This role requires someone who can build scalable systems while attracting, mentoring, and retaining exceptional engineering talent. You should be equally comfortable discussing AI model architectures, distributed system design, inference pipelines, and organizational leadership. ROLE RESPONSIBILITIES • Team Leadership & Talent Development: Lead, coach, and grow a high-performing team of software engineers and AI engineers. Recruit exceptional talent while building an environment that promotes mentorship, ownership, and long-term retention., • Agentic AI Platforms: Lead the development of systems that leverage AI agents, memory systems, orchestration frameworks, and autonomous workflows to enable intelligent decision-making and real-world automation., • Scalable Distributed Architecture: Partner with Principal Engineers and Architects to design and build resilient, highly available distributed services capable of supporting large-scale deployments and high-throughput workloads., • AI & Machine Learning Systems: Partner with AI/ML teams on training, deployment, evaluation, and operationalization of models including LLMs, VLMs, and multimodal systems., • Edge-to-Cloud Intelligence: Drive architecture that spans cloud services and edge infrastructure, ensuring intelligent orchestration across cameras, sensors, and distributed compute environments., • Technical Strategy & Execution: Translate product strategy into technical roadmaps and execution plans while balancing innovation, reliability, scalability, and delivery commitments., • Engineering Excellence: Establish strong engineering practices around architecture reviews, operational excellence, reliability, observability, AI evaluation frameworks, and development workflows., • AI Productivity & Developer Experience: Drive adoption of AI-assisted development practices and tools to improve engineering velocity and increase team leverage., • Cross-functional Leadership: Partner closely with Product, Hardware, Security, Infrastructure, and Architecture organizations to align priorities and accelerate delivery., • Innovation Leadership: Maintain awareness of emerging trends in Agentic AI, AI infrastructure, Physical AI, and distributed computing. Encourage experimentation and thoughtful technology adoption. OUR IDEAL CANDIDATE • Engineering Leadership Experience: 10+ years of software engineering experience including 4+ years managing and growing engineering teams in high-growth environments., • AI Systems Experience: Experience building and deploying AI-driven systems utilizing machine learning models, LLMs, multimodal AI, recommendation systems, or agentic architectures., • Agentic AI Expertise: Experience designing systems involving AI agents, memory systems, orchestration frameworks, MCP architectures, retrieval systems, or autonomous workflows., • Distributed Systems Expertise: Strong experience designing highly scalable distributed systems and cloud-native services supporting tens of thousands of edge devices and millions of events per day., • Cloud & Infrastructure Experience: Strong background with cloud platforms such as AWS and modern container orchestration technologies including Kubernetes., • Technical Foundation: Strong experience in languages such as Python, Go, C++, or Java and experience building APIs and large-scale backend systems., • MLOps & AI Infrastructure: Familiarity with ML infrastructure and tooling including model deployment pipelines, evaluation frameworks, observability, and inference optimization., • Physical AI Passion: Strong interest in AI applications involving real-world systems including sensors, video, robotics, IoT, computer vision, or edge intelligence., • Talent Builder: Demonstrated success hiring, mentoring, retaining, and developing high-performing engineering organizations., • Strategic Thinking: Ability to make thoughtful, data-driven decisions and balance long-term platform investments with immediate business needs., • Education: Bachelor's or Master's degree in Computer Science, Engineering, AI, Data Science, or related field. PREFERRED QUALIFICATIONS • Experience with Computer Vision, Large Vision Models, or multimodal systems., • Experience deploying AI models to edge environments including NVIDIA Jetson or similar hardware., • Experience with AI frameworks and tooling including TensorFlow, PyTorch, LangGraph, MCP frameworks, vector databases, and inference platforms., • Experience with AI safety, guardrails, evaluation frameworks, and memory systems. COMPENSATION The beginning annual salary range for this role is $250,200.00 - $302,900.00 USD and is determined by location, job-related experience, and education/training. Total compensation includes annual performance incentives and participation in LVT's equity program. BENEFITS We believe you do your best work when your whole life is supported. We invest in our crew's health, families, and financial futures with a benefits package designed to support you inside and outside the office. Full-time benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO. LVT IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. All candidates must pass a drug screening and background check upon employment. Some roles may also require passing a federal background check and fingerprinting. Must be authorized to work in the U.S. If reasonable accommodation is needed to participate in the job application or interview process, and/or to perform essential job functions, please reach out to your recruiter.

Job Description Serko is a cutting-edge tech platform in global business travel & expense technology. When you join Serko, you become part of a team of passionate travellers and technologists bringing people together, using the world’s leading business travel marketplace. We are proud to be an equal opportunity employer, and we embrace the richness of diversity, showing up authentically to create a positive impact. There's an exciting road ahead of us, where travel needs real, impactful change. With offices in New Zealand, Australia, North America, and China, we are thrilled to be expanding our global footprint, landing our new hub in Bengaluru, India. With a rapid growth plan in place, we’re hiring people from different backgrounds, experiences, abilities, and perspectives to help us build a world-class team and product. We are looking for a Principal Engineer to serve as the technical expert for our AI Platform & Operations. This isn’t just a role about maintaining infrastructure; it’s about owning the technical vision for the foundational systems that will power every AI product team across the company. Remote Role - can be based in either Washington or California State. Requirements By building robust, self-serve internal developer platforms, you’ll enable our engineers to deploy, monitor, and scale AI models with unprecedented efficiency and safety. Your work ensures that our "Agentic" future is reliable, cost-effective, and cutting-edge. What You’ll Be Doing • Architect the Future: Define the long-term technical roadmap for our AI platform, covering everything from model serving and feature stores to experiment tracking and CI/CD for ML., • Set the Gold Standard: Establish engineering benchmarks for deployment, versioning, A/B testing, and automated rollbacks., • Optimize & Scale: Lead strategies for GPU/compute efficiency and cost optimization while managing the complexities of LLM inference (quantization, batching, and latency) at scale., • Enhance Observability: Design sophisticated monitoring and alerting systems specifically tailored for AI workloads in production., • Champion Reliability: Drive platform stability and partner with application teams to ensure our infrastructure meets evolving product needs., • Technical Leadership: Mentor Senior engineers, lead architecture reviews, and evaluate the next generation of cloud services and ML frameworks. What You’ll Bring We are looking for a heavy-hitter in the ML infrastructure space who thrives on solving complex, distributed systems problems. • Senior Expertise: 12+ years of engineering experience, with at least 4 years at a Principal or Distinguished level., • ML Infrastructure Mastery: Expert-level knowledge of model serving (e.g., Triton, vLLM, Ray Serve) and deep experience with Kubernetes and cloud ecosystems (AWS/GCP/Azure)., • The MLOps Toolkit: Proven experience with tools like MLflow, Weights & Biases, or Kubeflow., • Coding & Systems: High proficiency in Python and a "systems-thinking" approach to Docker, Helm, and containerization., • AI Specialization: Hands-on experience operating LLM inference at scale and a deep understanding of the trade-offs between throughput and latency., • Platform Mindset: A track record of building internal platforms that treat other engineers as the primary customer, drastically improving engineering velocity. Benefits At Serko, we aim to create a place where people can come and do their best work. This means you’ll be operating in an environment with great tools and support to enable you to perform at the highest level of your abilities, producing high-quality and delivering innovative and efficient results. Our people are fully engaged, continuously improving, and encouraged to make an impact. Some of the benefits of working at Serko are: • A competitive base pay, • Medical Benefits, • Discretionary incentive plan based on individual and company performance, • Focus on development: Access to a learning & development platform and opportunity for you to own your career pathways, • Flexible work policy, • The pay range is between $168,000 - $230,000 USD as a base salary offering annually.

Job Description Senior DevSecOps Engineer (Remote-based role that requires US-citizenship) About us Hyperproof is on a mission to transform the Governance, Risk, and Compliance (GRC) world with a powerful new software platform. With Hyperproof, companies can save time and money while also operating their programs at a much higher level of effectiveness and accountability. We envision a world where organizations we depend on are truly trustworthy - and Hyperproof is the platform that will get them there. We have a great team and culture - picture yourself in a highly collaborative startup environment where you can make a real impact on something truly important. It's an exciting time to be at Hyperproof; we raised our Series B round in 2023, validating our teamwork and company vision, and we continue to grow rapidly. As we continue to grow, we are seeking a talented Senior DevSecOps Engineer to join our team and lead our efforts in supporting our multi-region, FedRAMP-authorized infrastructure. WHO YOU ARE: You are a seasoned Senior DevSecOps Engineer with a passion for ensuring the reliability, scalability, and security of cloud-based infrastructure. You thrive in dynamic environments and possess a deep understanding of Azure technologies. Your expertise in DevOps methodologies and security practices, and federal compliance standards makes you an invaluable asset to any team. You excel at collaborating with cross-functional teams and are dedicated to driving innovation and continuous improvement. You understand that compliance and developer velocity are not opposing forces — and you know how to architect systems that deliver both. WHAT YOU WILL DO: As a Senior DevSecOps Engineer, you will lead the management and optimization of Hyperproof's Azure-based infrastructure across commercial and FedRAMP regions. Your responsibilities will include: • Develop and execute DevOps strategy tailored to all Hyperproof regions, including our FedRAMP-authorized environments., • Own and evolve our Terraform/Terragrunt IaC pipeline for multi-subscription promotion, including continuous monitoring, • Architect secure, scalable platform infrastructure including GitHub Actions, GitLab, and ADO CI/CD pipelines with security gates, Kubernetes environments, observability systems, and compliance automation that enables developer velocity while maintaining continuous compliance posture., • Support FedRAMP authorization activities: contribute to SSP documentation, NIST 800-53 control implementations, 3PAO coordination, and readiness assessments while establishing repeatable processes., • Lead the design and security implementation of our Seattle-based on-premise build/test platform. You will ensure that physical hardware configurations (firmware, networking, and storage layout) maintain parity with our Azure Kubernetes Service (AKS) patterns while meeting strict SOC 2 compliance standards for local developer workflows., • Establish security and compliance architecture patterns across encryption, network segmentation, secrets management, supply chain security, and incident response., • Drive technical decisions and technology selection for cloud platforms, compliance tooling, and security controls., • Mentor and raise the technical bar across engineering teams through architecture reviews, design discussions, and establishing FedRAMP best practices., • Partner with security, product, and business leadership to translate federal customer requirements into technical architecture and deliver measurable improvements in security posture and operational efficiency., • Monitor, triage, and remediate CVEs and security vulnerabilities across infrastructure, container images, and dependencies — maintaining compliance with FedRAMP continuous monitoring requirements. WHAT YOU WILL BRING: Required: • U.S. citizenship, residing and working from within the United States.*, • BS in Computer Science, Engineering, or a related field (or equivalent experience)., • 5+ years of extensive experience in SRE, DevSecOps or Platform engineering roles, with a focus on managing Azure-based infrastructure., • Demonstrated knowledge and interest in applying AI technologies towards fully or partially automating compliance & security workflows, • Strong programming skills (Python, Bash, Go, or Node.js) and demonstrated ability to drive complex technical initiatives from architecture through production., • Expertise in modern platform technologies: Kubernetes security, infrastructure-as-code (Terraform/Terragrunt), GitOps (Helm/ArgoCD/Flux), Ansible, CI/CD security, observability systems, and secrets management., • Familiarity with compliance standards and regulations, particularly NIST 800-53 and FedRAMP., • Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment., • A positive attitude and a willingness to learn, adapt, collaborate, and grow in a dynamic environment. Preferred: • Experience contributing to FedRAMP authorization efforts (Moderate or High), including SSP documentation, control implementation, or 3PAO coordination., • Experience with Azure networking, and security boundaries., • Experience with compliance automation, supply chain security (SBOM, image signing), or secrets management at scale., • Professional certifications: CISSP, Azure Security Specialty, CKS, or equivalent., • Familiarity with CMMC, OSCAL, or compliance-as-code practices., • Experience with vulnerability scanning and remediation tooling (e.g., Trivy, Snyk, Qualys, or Defender for Cloud)., • Advanced degree in Computer Science or related field, or equivalent experience architecting secure, compliant platforms at scale. LOCATION Candidate must be a US-citizen but can be located anywhere within the US. CANDIDATE EXPERIENCE We respect your time and aim for transparency throughout the interview process. You can expect: • A 30-minute initial chat with our Principal People & Talent Partner., • A Take Home Assessment, which you will work on within GitHub., • Three 60-minute 1:1 interviews with members of our engineering team, one of them who will be the hiring manager. This process allows both parties to ask questions and gauge fit for the team. *Due to the nature of the work and participation in federal security and compliance programs, U.S. citizenship is required as a bona fide occupational qualification in accordance with federal government security and compliance regulations. This role requires physical presence within the United States while working — access to FedRAMP-authorized environments from outside U.S. borders is not permitted. Full compensation packages are based on candidate experience and certifications.WA pay input$164,000—$200,000 USDFull compensation packages are based on candidate experience and certifications.CA pay input$164,000—$200,000 USDFull compensation packages are based on candidate experience and certifications.NY pay input$164,000—$200,000 USDFull compensation packages are based on candidate experience and certifications.USA pay input$164,000—$200,000 USD WHERE YOU'LL GO • Hyperproof also loves to see an internal transfer. If a linear career path is not what you're looking for, you can work with your manager and our people team to explore lateral moves to other parts of the organization as you continue to grow with us. WHAT WE OFFER TO OUR EMPLOYEES Please note: Benefits listed below are for employees in the United States; contractor roles or international positions may differ • Annual compensation reviews + equity, • Unlimited PTO: strongly encouraged to unplug and recharge, • Health: coverage for medical, dental, and vision - employee and dependents, • 401K, which vests immediately, complete with a 4% company match, • 12 weeks of Parental leave and 1 year free diapers and wipes with Honest, • Annual company in-person events and quarterly in-person connects, • $500 home office stipend - at the time of hire. Any additional home office needs are requested as needed., • $100 quarterly paid wellness stipend, • Pet insurance discount, • Slack channel notifications turn off after 5 pm based on your time zone, • Two Hypercharge weeks of rest where we close company-wide (July & Dec) It's an exciting time to be at Hyperproof — we recently raised $40 million in our Series B financing, further cementing Hyperproof as the emerging leader in the risk and compliance management space. At Hyperproof's core are our passionate team members who focus on user experience, beautiful design, and evangelize a positive social impact of our cloud based platform. We help organizations streamline their risk and compliance workflows so our customers can spend more time strategically managing programs and less time wrangling spreadsheets. We are disrupting the governance, risk, and compliance software space with our innovative platform by helping traditionally unsung heroes (compliance professionals) do the right things so the wrong things don't happen. Learn more about the @hyperproof culture and how it all started. A NOTE ABOUT OUR INTERVIEW PROCESS We're committed to creating a fair, respectful, and secure hiring experience for everyone. As part of that commitment, we use standard verification steps throughout our interview process. Here's what that means for you: • We may conduct routine verification checks during the hiring process., • You might be asked additional questions to better understand your experience and background., • For video interviews, we ask that candidates be on camera without filters or visual modifications. These steps are applied consistently for all candidates and are designed to ensure an equitable experience for everyone. EQUAL OPPORTUNITY EMPLOYER Hyperproof is committed to a diverse and inclusive workplace — it's one of our core values! Hyperproof is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others. To ensure a smooth interview process, all candidates will be required to provide a valid phone number that is not a VOIP (Voice Over Internet Protocol) number. This helps us maintain clear and reliable communication throughout your interview experience.

Job Description About Us: Pacvue is the leading Commerce Media OS, powering over $12B in advertising spend across 100+ global retail media networks including Amazon, Walmart, Target, Kroger, Instacart, Criteo, and CitrusAd. Powered by industry-leading AI and real-time data, Pacvue enables over 70,000 brands and agencies to maximize advertising performance, drive incrementality, and expand reach across the commerce universe from a single mission control. As of 2025, Pacvue powers 12% of total retail media ad spend worldwide excluding China. Combined with Helium 10's SMB solutions, Pacvue delivers the industry's most comprehensive platform for businesses of all sizes. At Pacvue and Helium 10, great careers don't just happen — they're built. Here, you'll rise as an industry leader, push the boundaries of innovation, own your journey, and thrive as part of an inclusive global community that's redefining the future of commerce. About the Role: As a Senior DevOps Engineer on our Platform Engineering team, you'll bring deep, hands-on expertise to solve infrastructure challenges with minimal oversight across Pacvue and Prism — designing the systems, pipelines, and standards that let every engineering team ship faster and more reliably. You'll work independently on high-impact problems, mentor other engineers, and drive your own projects end-to-end with little need for day-to-day direction Responsibilities: • Design, build, and optimize the cloud infrastructure (AWS/Kubernetes/EKS) and CI/CD pipelines that power Pacvue and Prism across multiple product and engineering teams, • Troubleshoot and resolve production incidents of varying scope and complexity, using sound judgment to resolve issues that don't always have a documented playbook, • Drive infrastructure projects end-to-end — from planning and architecture through documentation — with only high-level check-ins along the way, • Partner with engineering and product teams to establish infrastructure standards, CI/CD best practices, and operational procedures that improve reliability and developer productivity, • Serve as a go-to resource for other teams on deployment strategy and infrastructure decisions when they need input, • Monitor system performance and security proactively — including secret hygiene, access controls, and observability — identifying risks early and preventing future issues Skills & Qualifications: • 5+ years of professional DevOps, infrastructure, or site reliability engineering experience, with advanced knowledge of AWS (networking, compute, storage, and security), • Strong hands-on experience with Infrastructure as Code (Terraform, CloudFormation, or similar) and containerization/orchestration (Docker, Kubernetes), • Proficiency in at least one language for automation and tooling (Python, Go, Bash, or similar) and a track record designing and maintaining CI/CD pipelines, • Demonstrated ability to work independently, troubleshoot complex multi-system problems, and mentor other engineers, • Experience in high-growth e-commerce/ad-tech environments, observability tooling (OTel, New Relic, Prometheus, or similar), and infrastructure security/compliance/disaster recovery planning Benefits: • Flexible Paid Time Off, • Paid Holidays and Floating Holidays, • Medical, Dental, Vision, FSA, HSA with employer contribution, Life Insurance and Pet Insurance, • 401k with Employer Match, • Take up to 2 Days of Paid Time Off to Volunteer with a 501c Organization, • Paid Parental Leave, • Company-subsidized membership to Wellhub and Peloton, • Fertility and family-building information platform through Carrot The annual base salary range for this position is $140,000-165,000 USD. The actual salary will vary depending on the applicant's experience, skills, and abilities as well as internal equity and market data for their location. This position is also eligible for an additional annual bonus compensation through one of Pacvue's highly attractive incentive plans, full details will be provided during the recruitment process. #LI-Remote Pacvue is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

Job DescriptionAbout Galvanick Galvanick protects the industrial world against cyber attacks. Our threat detection platform defends the modern world against criminals and nation-states that target Operational Technology (OT) systems and networks. This is a chance to work in a startup environment with driven individuals committed to solving cybersecurity's big problems. We are backed by Founders Fund, Village Global, MaC Venture Capital, and others. About the Role We are seeking a talented individual to join our team as an Infrastructure Engineer. In this role, you will play a crucial role in building out our internal tooling and pipelines, with the goal of improving developer experience and enabling faster product iteration. You will be hands-on with Kubernetes, deploying, managing and scaling both cloud and on-prem clusters. A core focus of this role is maintaining and evolving our existing observability stack to ensure system reliability and performance visibility as we scale. You will leverage automation and orchestration to optimize delivery practices and costs. If you are passionate about building robust internal systems, improving developer experience, and ensuring the smooth operation of our infrastructure, we would love to hear from you. What You Will Do Design, deploy, and maintain Kubernetes clusters across cloud and on-premise environments, ensuring high availability and scalability. Build and maintain our observability platform using Prometheus, Grafana, and Alertmanager to provide comprehensive metrics collection, visualization, and alerting. Define and track SLIs/SLOs, create actionable dashboards, and implement alerting strategies to proactively detect issues such as sensor failures or data gaps. Embrace automation and leverage infrastructure management tools (e.g., Terraform, Ansible, CDK) to improve deployment pipelines and eliminate recurring issues. Develop and maintain internal tooling to enhance the efficiency and productivity of our development processes. Design and implement CI/CD pipelines that streamline our workflows. Conduct regular maintenance and troubleshooting activities, ensuring the reliability of our systems and equipment. Who You Are Strong experience managing Kubernetes clusters in production environments, including deployment strategies, networking, storage, and troubleshooting. Experience with Kubernetes operators, Helm charts, and GitOps workflows (e.g., ArgoCD, Flux). Hands-on expertise with the Prometheus and Grafana monitoring stack, including PromQL, custom exporters, and dashboard creation. Experience with logging and tracing tools (e.g., Loki, OpenTelemetry, Jaeger). Proficient in CI/CD automation, software development lifecycle, and cloud computing platforms (e.g., AWS, GCP, Azure, GitHub Actions). Experience administering role-based access control (RBAC) and attribute-based access control (ABAC). Comfortable integrating with and managing IAM systems and tools such as Keycloak, Okta, and others. Proficient in scripting and programming languages to implement deployment automation and testing (e.g., Python, Go). Bonus Points Familiarity with service mesh technologies (e.g., Istio, Linkerd). Familiarity with managed Kubernetes cloud platforms such as EKS, GKE, AKS, or Rancher. Familiarity with workflow orchestration tools such as Airflow. Knowledge of security frameworks, compliance, and regulatory standards (e.g., SOC2, GDPR, FedRAMP). You enjoy solving problems and are naturally curious about the technologies and tools you use. Comfortable taking risks and owning the accountability for managing them. You have a bias for action. Startup experience and an understanding of zero to one ideas. You enjoy attacking complex and novel problems. * You hold strong opinions on the best Italian cuisine in the Seattle area. You are able to clearly and reasonably explain pros/cons of various top destinations. Benefits We provide top-of-the-line medical/dental/vision for employees and dependents, and have additional benefits designed to optimize every team member’s vitality, health, and wellness. Our compensation reflects the cost of labor across various geographic markets. The base pay for this position ranges from $100,000/year in our lowest geographic market up to $180,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Galvanick is an early stage startup and base salary is only one component of our compensation package. Depending on the position offered, equity may be provided as part of the compensation package, in addition to medical, financial, and/or other benefits. Location The Galvanick team is based in Seattle. Given that we are an early-stage startup working on an exceptionally hard problem, we expect new team members to be in office. We are happy to cover relocation expenses. ITAR Requirements To conform to US Government export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a US citizen, lawful permanent resident of the US, protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the US Department of State. Learn more about the ITAR here. Galvanick is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity, or any other protected status.

Job DescriptionSenior Backend Engineer Remote, US About Nametag Nametag helps companies verify the real person behind high-risk workforce actions, from account recovery to identity checks, before attackers can exploit the gap. Deepfakes, social engineering, and stolen credentials have made "who is actually on the other side of this request?" a critical infrastructure problem. We are building the identity verification and account protection layer companies use to answer that question quickly, securely, and with less friction for real users. The Role We are looking for a Senior Backend Engineer to design and scale the systems behind Nametag's identity verification and account protection platform. This is a backend-first role. You will own production services, APIs, database design, authentication flows, and reliability for systems where correctness and security matter. You may work across the stack when the product needs it, but the center of gravity is backend engineering. You will work closely with product, design, and engineering leadership on a small team where senior engineers have real ownership over architecture, implementation, and production outcomes. What You'll Do Backend and systems design • Design, build, and operate backend services and APIs that power identity verification, account recovery, and account protection workflows., • Own database schema design, migrations, query performance, and data integrity., • Build and harden authentication, authorization, and data-protection systems., • Design for correctness under load, including idempotency, safe retries, failure handling, and observability., • Contribute to architecture decisions and help shape the technical roadmap. Product engineering • Partner with product and design to ship secure, usable customer-facing workflows., • Build internal tools and dashboards that improve operational visibility and developer workflows., • Make clean integration decisions across frontend, backend, third-party APIs, and customer systems. Production ownership • Operate what you build., • Debug complex production issues across services, data, infrastructure, and user flows., • Improve reliability, performance, testing, deployment, and observability., • Review code, mentor peers, and raise the technical bar across the team.What We're Looking For Work authorization required: Applicants must be legally authorized to work in the United States for any employer without current or future need for visa sponsorship. You do not need to match every bullet. We care most about strong backend judgment, production ownership, and security-minded engineering. • 5+ years building and operating production backend systems., • Strong experience with backend languages such as Node.js, Go, Python, Java, or similar., • Experience designing APIs and services used by real customers or high-scale internal systems., • Strong relational database experience, PostgreSQL preferred, including schema design and query optimization., • Hands-on cloud experience, AWS preferred., • Familiarity with authentication, authorization, identity, security, or fraud and abuse prevention., • Comfort working across the stack when needed, ideally with React, Vue, or a similar modern frontend framework., • Clear communication and good judgment in a remote, cross-functional team.Bonus Points, • Experience with identity, authentication, account recovery, fraud prevention, fintech, security, or compliance-heavy products., • Experience with OAuth, SAML, SSO, JWTs, access control, or secure account workflows., • Experience at an early-stage or high-ownership engineering environment., • Strong production incident, observability, or reliability experience.What We Value, • High ownership. You see what needs doing and do it., • Technical judgment. You make systems simpler, safer, and easier to operate., • Speed with care. We move quickly because attackers move quickly, but we do not cut corners on trust or security., • Kindness and integrity. Trust starts with how we work with each other.Compensation The base salary range for this full-time position is $120,000 to $190,000, plus equity and benefits. Nametag is a founding member of the Open Imperative and is committed to pay equity in technology. Final compensation is based on role, level, skills, experience, and education. Your recruiter or hiring manager can share more during the process. Culture and Benefits Nametag is a remote-first team with regular in-person time to stay connected. • Remote-first, US-based team, • Quarterly team offsites, • Flexible schedules, • Meaningful equity ownership, • Comprehensive medical, dental, and vision benefits, • Flexible paid time off, • New computer hardware and equipment

Job Description System1 (NYSE: SST) is an omnichannel customer acquisition marketing platform powered by AI and machine learning. Our proprietary Responsive Acquisition Marketing Platform (RAMP) uses data science and real-time bidding to match high-intent consumers with advertisers at scale. We operate a portfolio of consumer-facing brands across search, shopping, and travel — including Startpage, MapQuest, and CouponFollow — and build the apps, search engines, and online publications that power them. Startpage (part of System1) is the world's most private search engine. We deliver high-quality search results through a privacy-preserving proxy layer that strips identifying information before queries leave our infrastructure. Users get the search experience they expect without being tracked, profiled, or targeted. Startpage is looking for a full-stack Senior Software Developer to work alongside our existing team. This is a full-time, on-site position with the expectation of a 40-hour work week from our Bellevue, WA office. At a high level, Startpage engineers work with our product team to build out new features on our roadmap, primarily for our private search engine, our flagship product. We also help to shape architectural decisions, while proactively tackling tech debt, bugs, and other engineering tasks. All developers at Startpage work with a wide variety of languages, tools, and technologies across all parts of the stack. Generally, day-to-day work across our stack includes mostly Python and JavaScript. We are a small but fast-moving, adaptable team, and we are rapidly iterating our products to meet the ever-changing demands of the open internet in the world of AI. The team is distributed across time zones in North America and Europe. While we don’t maintain a strict schedule, everyone on the team overlaps their days for 4-5 hours so we can all work together for a portion of our day. Ideal candidates for this role are self-starters who take initiative and learn things quickly, are flexible in dealing with rapidly evolving technical requirements, and have a good eye for balancing quality, output volume, and complexity. Startpage developers are expected to oversee their work from tickets to production deployments and monitoring, and should feel confident and comfortable releasing changes to a highly-trafficked, internationally distributed web product multiple times per week. Given Startpage is a privacy-focused product, previous experience working on a privacy-focused web product would be an asset, but is not a hard requirement. Similarly, our developers are expected to have a high level of attention to detail in order to maintain the privacy of our users, which we take very seriously. Engineering at Startpage means working on systems where privacy is a real architectural constraint, not a marketing line. This role also requires participation in our emergency on-call rotation. This position is a hybrid role requiring you to work out of our Bellevue, WA office located at 10800 NE 8th Street Suite 200 Bellevue, WA 98004. Technical Qualifications and Desired Experience: • Excellent communications skills, strong command of the English language, • 5+ years of professional software development experience building and operating production web services at scale., • Deep understanding of HTTP and all of its moving parts: front-ends, back-ends, serving infrastructure, DNS, etc., • Good understanding of REST API architectures, both writing them and consuming them., • Experience with JavaScript (TypeScript/Node.js/React), modern CSS, and HTML., • Experience with Python—our backend services are predominantly written in Python., • Hands-on experience with Kubernetes and Helm in a multi-region production environment and a good working knowledge of K8s concepts., • Proficient with Docker and containerized service development., • Experience with Redis and/or similar caching strategies in latency-sensitive systems., • Comfortable with modern CI/CD tooling (ArgoCD, GitHub Actions)., • Experience with monitoring and instrumenting services such as New Relic, Datadog, Cloudwatch, etc., • Strong automated testing experience and discipline (unit, integration, and end-to-end tests)., • Experience with AI coding tools and a good understanding of when it is appropriate to move quickly with these tools versus when it is important for human oversight., • Experience with AWS or other modern cloud provider(s) for serving well-architected, scalable web applications., • Any background or previous experience in search, ad tech, or browser-facing privacy products would be an asset but not a must.What We Have To Offer:, • Competitive salary + bonus + equity, • Generous PTO + 11 company holidays, • Open sick time, • 100% covered Medical, Dental, Vision for employees, • 401k with match, • Health & Dependent Care Flex Spending Account, • Paid professional development, • Leadership & growth opportunities, • Virtual company and team building eventsThe U.S. base salary range for this full-time position is $133,000 - 170,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in U.S. role postings reflect the base salary only, and do not include bonus, equity, or benefits. System1’s headquarters is located in Marina del Rey, CA with an additional office in Bellevue, WA. Employees near office locations are returning to the office. Equal Employment Opportunity: System1 provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description The financial industry is growing at a record pace, but our data providers are still stuck in the past — with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs. Databento is the market data platform for modern finance. The company provides real-time and historical data across futures, options, and equities through a unified API. By owning the entire market data stack end-to-end, Databento is the first platform of its kind to combine the performance and reliability demanded by the world's leading trading firms with a dramatically simpler developer experience. Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, Tower Research, PDT Partners, SIG, and other top quantitative firms. We're looking for a midlevel or senior IC to join our Platform/API engineering team. You'll be responsible for building, maintaining, and promoting our JavaScript client library, working closely with our design team to bring production-ready interfaces to life. This role is primarily focused on TypeScript/JavaScript, with some full-stack/Python work as well. Responsibilities • Own, build, and maintain our JavaScript client library, ensuring it is robust, well-tested, and easy for external users to integrate with., • Integrate native libraries into JavaScript/TypeScript code using tools like N-API, node-addon-api, or Wasm., • Build responsive, performant front-end applications using React, Redux, Vite, Web Workers, and WebSockets., • Contribute to full-stack projects, including backend work in Python (or Rust), REST API design, and database/migration work., • Work between design and engineering teams to translate designs (e.g. Figma handoffs) into production-ready components and design systems., • Set up and maintain CI/CD pipelines, including publishing to npm., • Document components using Storybook or similar tooling., • Collaborate cross-functionally to ensure smooth feature rollouts and updates.Preferred background, • Experience working between high-performing design and engineering teams, including production-ready design systems and tools (e.g. Figma handoffs)., • Proficiency with React, Redux, Vite, Web Workers, and WebSockets., • Background in trading, market data, or quantitative finance., • Hands-on backend experience building APIs, working with databases, and migrations., • Full-stack experience with backends in Python or Rust, including REST API design., • Familiarity with Storybook or similar component documentation tooling., • Good communication skills and work ethic for a remote workplace.Notice about phishing scams Be cautious of phishing scams impersonating Databento that offer fake job interviews and request purchases. Official emails come only from @databento.com or us.greenhouse-mail.io (our ATS). Any other domains (e.g., databento-careers.com, databento.online) are fraudulent. -- Databento, Inc. provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. In addition to federal law requirements, we comply with applicable state and local laws governing nondiscrimination in every location where we operate. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Pursuant to applicable laws, we consider qualified applicants with arrest or conviction records. If you need an accommodation, please let us know. Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn't exactly match the qualifications listed, we still want to hear from you. Please apply!

Guidacent is seeking a Principal DevOps Engineer experienced in AI daily use to improve individual and team work efforts. This is a senior individual-contributor role with significant influence: the right candidate will architect the delivery platform and developer experience (DevEx), define standards and reusable “paved roads,” make cross-team technical decisions, and mentor other engineers. We are looking for a strong DevOps practitioner first — someone deep in CI/CD, infrastructure-as-code, cloud, containers, and observability — who has folded AI tooling such as Claude or Cursor into their daily workflow and used it to make engineering standards and practices measurably better. Just as important, the right candidate knows how to be a careful, cost-aware user of these tools: getting real leverage from AI without token overuse. The role extends proven DevOps practice with AIOps and AI-assisted automation, and treats DevEx as a long‑term, principal‑owned concern. Formal people or team management is a welcome plus but not a requirement, but preference is for a hands‑on principal-level IC and player‑coach who wants to lead a team. Candidates MUST be located in the Greater Seattle area and be willing to work onsite. • Technical direction & architecture: Own the architecture for CI/CD, infrastructure, and the AI delivery platform; set the technical strategy and reference architectures that other teams build on., • Developer experience (DevEx): Own developer experience as a long‑term, principal-level charter — continuously improve how engineers build, test, and ship, and treat DevEx as a product with its own metrics and roadmap., • Standards & paved roads: Define and champion reusable templates, golden paths, and engineering standards that make delivery fast, safe, and self‑service — using AI tooling to raise the bar on those standards, not just to move faster., • AI in the daily workflow: Set the example and the patterns for using AI coding tools (e.g., Claude, Cursor) day to day, and turn that hands‑on use into improved practices, reviews, and automation across the team — with disciplined, cost‑aware token usage rather than wasteful consumption., • CI/CD delivery: Lead the design of continuous integration and deployment pipelines with automated testing, validation, and rollback., • Infrastructure as code: Establish IaC and GitOps practices (Terraform or equivalent) across one or more major clouds., • Scaling AI tooling & AIOps: Drive org-wide adoption of AI‑assisted review, test generation, and AIOps‑driven incident detection and remediation, and quantify their impact on quality, velocity, and reliability., • Observability & AIOps: Define observability strategy — telemetry, logging, automated anomaly detection, and alerting — and apply AIOps techniques to set SLOs that reduce mean‑time‑to‑resolution., • DevSecOps & responsible AI use: Embed security scanning, secrets management, and sensible guardrails for how AI tooling is used (e.g., data handling, access, and review practices) across the delivery lifecycle., • Reliability & cost: Set reliability practices (SLOs, DORA metrics) and optimize infrastructure and tooling cost — including efficient, token‑aware use of AI tools., • Mentorship & influence: Mentor and uplevel engineers, lead technical reviews, and influence the broader engineering roadmap and ways of working., • MUST be located in the Greater Seattle area and be willing to work onsite., • 8+ years in DevOps, platform engineering, or site reliability engineering, including a track record of senior technical ownership., • Demonstrated experience architecting and setting direction for CI/CD and infrastructure platforms used across multiple teams., • Strong CI/CD experience (e.g., GitHub Actions, GitLab CI, Jenkins, or Azure DevOps)., • Deep proficiency with infrastructure-as-code (Terraform, Pulumi, or CloudFormation) and at least one major cloud (AWS, Azure, or GCP)., • Hands‑on containerization and orchestration with Docker and Kubernetes, including production‑scale operations., • Strong scripting and automation skills in Python, Bash, or Go., • Experience defining observability and monitoring strategy (e.g., Prometheus, Grafana, Datadog, ELK)., • Regular, hands‑on use of AI to make DevOps work more efficient — automating tasks, generating and reviewing code, troubleshooting, and improving tooling., • Daily, hands‑on use of AI coding tools (e.g., Claude, Cursor, or equivalent) as a core part of how they work — with a cost‑conscious, token‑aware approach rather than wasteful consumption., • A demonstrated track record of using AI to make engineering standards and practices measurably better (e.g., better reviews, tests, automation, or paved‑road tooling), not just to ship faster., • Some level of AIOps experience — using AI‑driven techniques for monitoring, anomaly detection, alerting, or automated remediation., • Genuine interest in and ownership instinct for developer experience (DevEx) as a long‑term concern., • Proven ability to mentor engineers, lead technical decisions, and influence across teams., • People or team management experience — leading, growing, or formally managing a DevOps / platform / DevEx team. A strong plus for candidates on a player‑coach or principal‑with‑reports path, but not required., • Experience standing up or owning a platform or developer‑experience function from the ground up., • Experience evaluating, rolling out, and measuring AI developer tools (e.g., Claude, Cursor, Copilot) across a team or organization., • Familiarity with AIOps platforms and automated remediation., • Cost / FinOps discipline for cloud and AI tooling — monitoring and optimizing spend, including token usage., • Awareness of responsible / secure AI‑use practices and relevant data‑handling requirements., • Relevant certifications (CKA/CKAD, cloud architect or DevOps engineer, Terraform Associate)., • Exposure to enterprise ITSM/ITOM platforms (e.g., ServiceNow) and large‑scale program environments. #J-18808-Ljbffr

Company: Google Location: Kirkland, WA, USA Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. • Health, dental, vision, life, disability insurance, • Retirement Benefits: 401(k) with company match, • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment, • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance, • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks, • Baby Bonding Leave: 18 weeks, • Holidays: 13 paid days per year, • Bachelor’s degree, or equivalent practical experience., • 8 years of experience in software development., • 3 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent., • 3 years of experience in a technical leadership role., • 2 years of experience in a people management or team leadership role., • Master's degree or PhD in Computer Science or related technical field., • 3 years of experience working in a complex, matrixed organization., • Experience with applying emerging AI/ML technologies and building agentic systems to solve problems. Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207,000 - $301,000 (USD) + 20% bonus target + equity + benefits. Learn more about benefits at Google. • Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams., • Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching., • Develop the mid-term technical goals and roadmap within the scope of your (often multiple) team(s). Evolve the roadmap to meet anticipated future requirements and infrastructure needs., • Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems., • Review code developed by other engineers and provide feedback to ensure best practices (style guidelines, checking code in, accuracy, testability, and efficiency). Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right. #J-18808-Ljbffr

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n \n ABOUT THE TEAM\n \n \nThe Tactical Recon & Strike team at Anduril develops aerial small drones (Group 1-3) and all equipment to test, deploy and operate. The team is responsible for taking products like Ghost, Anvil, Bolt and Altius from concepts to operational systems. We work in close coordination with specialist teams to solve some of the hardest problems facing our customers. We are looking for software engineers, hardware engineers, roboticists, and front-end mobile developers who are excited about creating a powerful robotics platform that can be tasked and viewed in real-time through a variety of interfaces.\n \n \nWithin TRS, our GNC team is at the forefront of tackling the most challenging navigation problems, specializing in the ground-up development of resilient GPS-denied navigation solutions that empower our autonomous platforms to operate reliably in the most demanding, contested environments. We are a vertically integrated team, taking concepts from ideation to software loaded on a vehicle and into flight testing in the same week, sometimes even the same day.\n ABOUT THE JOB\n \n \nThis is a senior role for an Algorithm Developer (Localization/GNC) who thrives on building cutting-edge technology from scratch and seeing their creations immediately deployed in the field. You will be a central architect in shaping Anduril's technical moat in GPS-denied navigation, driving the development of core vision-based navigation (VBN) and advanced sensor fusion algorithms. While core techniques like VBN and Terrain Contour Matching (TERCOM) exist, your role will involve pioneering novel approaches and advanced fusion methodologies that push their performance boundaries.\n \nYou will apply algorithmic creativity to explore and develop a diverse suite of advanced navigation solutions, including:\n \n\n • Robust vision-based navigation\n, • Advanced map matching algorithms\n, • Terrain contour matching (TERCOM)\n, • Celestial navigation\n, • High-fidelity state estimation using various Kalman filter types (Error-State, Invariant Filters)\n, • Fusion of diverse sensor modalities (IMU, EO/IR, Baro, ToF, Radar Altimeter, Star Trackers)\n\n \nYou'll contribute directly to building capabilities that include collaborative navigation, precision landing on moving or maritime vessels, and developing a common, resilient navigation stack for platforms ranging from submarines and helicopters to boats and trucks. Join a close, collaborative team where your insights will directly translate into software loaded on vehicles, with rapid flight testing opportunities across diverse, exciting test sites - from captive flights on various vehicles to remote, cool locations. If you're passionate about making an immediate, tangible impact on national security by developing the most advanced navigation solutions for contested environments, this is your opportunity.\n WHAT YOU'LL DO\n \n\n • Design, implement, and rigorously validate advanced GPS-denied navigation algorithms, including Vision-Based Navigation (VBN), advanced Map Matching, and high-fidelity sensor fusion for state estimation.\n, • Drive ground-up algorithm development from theoretical concepts through high-fidelity simulation, Hardware-in-the-Loop (HIL) testing, and rapid flight validation on multiple physical hardware platforms.\n, • Collaborate intimately with Computer Vision, Flight Software, and Simulation teams to define requirements, integrate solutions, and push the boundaries of autonomous navigation in contested environments.\n, • Analyze extensive flight test data from diverse platforms (e.g., Altius, Ghost, manned aircraft) collected across varied, challenging environments to identify performance gaps, refine algorithms, and debug complex incidents.\n, • Contribute strategically to the growth of Anduril's technical moat in navigation, including areas like collaborative navigation and precise terminal guidance for challenging operational scenarios.\n, • Mentor junior engineers and champion best practices in algorithm design, validation, and continuous integration within a fast-paced, high-impact environment.\nREQUIRED QUALIFICATIONS\n \n\n • Bachelor's degree in Robotics, Aerospace Engineering, Electrical Engineering, Computer Science, Physics, or a related technical field with a strong focus on dynamic systems, estimation, or control.\n, • 8+ years of professional experience in GNC, localization, or advanced state estimation roles, preferably in demanding real-world applications (e.g., defense, aerospace, robotics).\n, • Deep expertise in state estimation and sensor fusion, particularly with various Kalman filter types (e.g., EKF, ES-EKF, UKF, Invariant Filters) and their practical implementation.\n, • Proficiency in C++ (preferred) and/or Python for algorithm development and real-time embedded systems implementation.\n, • Extensive experience with vision-based navigation (VBN) techniques (e.g., VIO, VSLAM, feature tracking, optical flow) or robust map matching/geo-registration algorithms.\n, • Proven ability to develop, test, and debug algorithms in real-time embedded environments on physical hardware.\n, • Experience with modeling and simulation of dynamic systems and sensor phenomenology.\n, • Eligible to obtain and maintain an active U.S. Secret security clearance.\nPREFERRED QUALIFICATIONS\n \n\n • Master's Degree or PhD in a relevant technical field.\n, • Experience with terrain contour matching (TERCOM) or other non-GPS absolute localization methods utilizing diverse sensor inputs (e.g., LRF, Radar Altimeters, Star Trackers/Celestial Navigation).\n, • Familiarity with diverse sensor modalities for navigation (e.g., IMU, Baro, LRF, Radar Altimeters, EO/IR) and their specific noise characteristics and modeling.\n, • Experience with distributed or collaborative navigation systems, leveraging inter-platform measurements.\n, • Track record of successfully bringing complex algorithms from theoretical concepts through to deployed products on physical hardware.\n, • Proficiency with modern software development practices (e.g., CI/CD, Git, automated testing frameworks).\n, • Demonstrated ability to "wear many hats" and thrive in a fast-paced, high-impact, and highly collaborative startup environment.\n\n \n \nUS Salary Range\n \n \n$166,000-$220,000 USD\n \n \nThe salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: \n \n Benefits\n \n \nAt Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.\n \n Protecting Yourself from Recruitment Scams\n \n \nAnduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.\n \n \nTo ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:\n \n\n • No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.\n, • Please always verify communications:\n \n, • Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.\n, • Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to [email protected].\n \n, • Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.\n, • What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to [email protected]. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.\n\n \n Data Privacy\n \n \nTo view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. \n \n \nBy submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n \n ABOUT THE TEAM\n \n \nThe Tactical Recon & Strike team at Anduril develops aerial small drones (Group 1-3) and all equipment to test, deploy and operate. The team is responsible for taking products like Ghost, Anvil, Bolt and Altius from concepts to operational systems. We work in close coordination with specialist teams to solve some of the hardest problems facing our customers. We are looking for software engineers, hardware engineers, roboticists, and front-end mobile developers who are excited about creating a powerful robotics platform that can be tasked and viewed in real-time through a variety of interfaces.\n \n \nWithin TRS, our GNC team is at the forefront of tackling the most challenging navigation problems, specializing in the ground-up development of resilient GPS-denied navigation solutions that empower our autonomous platforms to operate reliably in the most demanding, contested environments. We are a vertically integrated team, taking concepts from ideation to software loaded on a vehicle and into flight testing in the same week, sometimes even the same day.\n ABOUT THE JOB\n \n \nThis is a senior role for an Algorithm Developer (Localization/GNC) who thrives on building cutting-edge technology from scratch and seeing their creations immediately deployed in the field. You will be a central architect in shaping Anduril's technical moat in GPS-denied navigation, driving the development of core vision-based navigation (VBN) and advanced sensor fusion algorithms. While core techniques like VBN and Terrain Contour Matching (TERCOM) exist, your role will involve pioneering novel approaches and advanced fusion methodologies that push their performance boundaries.\n \nYou will apply algorithmic creativity to explore and develop a diverse suite of advanced navigation solutions, including:\n \n\n • Robust vision-based navigation\n, • Advanced map matching algorithms\n, • Terrain contour matching (TERCOM)\n, • Celestial navigation\n, • High-fidelity state estimation using various Kalman filter types (Error-State, Invariant Filters)\n, • Fusion of diverse sensor modalities (IMU, EO/IR, Baro, ToF, Radar Altimeter, Star Trackers)\n\n \nYou'll contribute directly to building capabilities that include collaborative navigation, precision landing on moving or maritime vessels, and developing a common, resilient navigation stack for platforms ranging from submarines and helicopters to boats and trucks. Join a close, collaborative team where your insights will directly translate into software loaded on vehicles, with rapid flight testing opportunities across diverse, exciting test sites - from captive flights on various vehicles to remote, cool locations. If you're passionate about making an immediate, tangible impact on national security by developing the most advanced navigation solutions for contested environments, this is your opportunity.\n WHAT YOU'LL DO\n \n\n • Design, implement, and rigorously validate advanced GPS-denied navigation algorithms, including Vision-Based Navigation (VBN), advanced Map Matching, and high-fidelity sensor fusion for state estimation.\n, • Drive ground-up algorithm development from theoretical concepts through high-fidelity simulation, Hardware-in-the-Loop (HIL) testing, and rapid flight validation on multiple physical hardware platforms.\n, • Collaborate intimately with Computer Vision, Flight Software, and Simulation teams to define requirements, integrate solutions, and push the boundaries of autonomous navigation in contested environments.\n, • Analyze extensive flight test data from diverse platforms (e.g., Altius, Ghost, manned aircraft) collected across varied, challenging environments to identify performance gaps, refine algorithms, and debug complex incidents.\n, • Contribute strategically to the growth of Anduril's technical moat in navigation, including areas like collaborative navigation and precise terminal guidance for challenging operational scenarios.\n, • Mentor junior engineers and champion best practices in algorithm design, validation, and continuous integration within a fast-paced, high-impact environment.\nREQUIRED QUALIFICATIONS\n \n\n • Bachelor's degree in Robotics, Aerospace Engineering, Electrical Engineering, Computer Science, Physics, or a related technical field with a strong focus on dynamic systems, estimation, or control.\n, • 8+ years of professional experience in GNC, localization, or advanced state estimation roles, preferably in demanding real-world applications (e.g., defense, aerospace, robotics).\n, • Deep expertise in state estimation and sensor fusion, particularly with various Kalman filter types (e.g., EKF, ES-EKF, UKF, Invariant Filters) and their practical implementation.\n, • Proficiency in C++ (preferred) and/or Python for algorithm development and real-time embedded systems implementation.\n, • Extensive experience with vision-based navigation (VBN) techniques (e.g., VIO, VSLAM, feature tracking, optical flow) or robust map matching/geo-registration algorithms.\n, • Proven ability to develop, test, and debug algorithms in real-time embedded environments on physical hardware.\n, • Experience with modeling and simulation of dynamic systems and sensor phenomenology.\n, • Eligible to obtain and maintain an active U.S. Secret security clearance.\nPREFERRED QUALIFICATIONS\n \n\n • Master's Degree or PhD in a relevant technical field.\n, • Experience with terrain contour matching (TERCOM) or other non-GPS absolute localization methods utilizing diverse sensor inputs (e.g., LRF, Radar Altimeters, Star Trackers/Celestial Navigation).\n, • Familiarity with diverse sensor modalities for navigation (e.g., IMU, Baro, LRF, Radar Altimeters, EO/IR) and their specific noise characteristics and modeling.\n, • Experience with distributed or collaborative navigation systems, leveraging inter-platform measurements.\n, • Track record of successfully bringing complex algorithms from theoretical concepts through to deployed products on physical hardware.\n, • Proficiency with modern software development practices (e.g., CI/CD, Git, automated testing frameworks).\n, • Demonstrated ability to "wear many hats" and thrive in a fast-paced, high-impact, and highly collaborative startup environment.\n\n \n \nUS Salary Range\n \n \n$191,000-$253,000 USD\n \n \nThe salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: \n \n Benefits\n \n \nAt Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.\n \n Protecting Yourself from Recruitment Scams\n \n \nAnduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.\n \n \nTo ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:\n \n\n • No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.\n, • Please always verify communications:\n \n, • Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.\n, • Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to [email protected].\n \n, • Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.\n, • What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to [email protected]. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.\n\n \n Data Privacy\n \n \nTo view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. \n \n \nBy submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.

Company OverviewDocusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).What you'll doAs the most trusted brand in our industry, Docusign recognizes the profound importance of maintaining and enhancing customer trust in our products. The Senior Director, Product Security leads all aspects of the Docusign Product Security program. The Senior Director will be a product focused, technically proficient leader who manages the development of products and features to provide for the security and trust of the platform. This role has responsibility for the secure software development lifecycle (SDLC) and continuous integration/continuous deployment (CI/CD) for products developed for customers as well as internal usage at Docusign. The Senior Director and their team of security engineers and architects embed within Product, Technology, and Digital Technology teams to manage product development, security controls, and processes to ensure optimal security by design and default while supporting business objectives. The Senior Director will integrate leading security practices into all phases of product development – including planning, design, implementation, testing, deployment and maintenance – to proactively reduce vulnerabilities and broader risks. The role will oversee developer technical designs (e.g., secure coding criteria, architectural designs, developer libraries, code reviews, etc.), as well as SDLC and CI/CD processes, gating, and execution. In particular, the Senior Director will implement leading security practices directly into the software delivery pipeline, ensuring code integrity from development to production, and mitigate risks while performing automated scanning, testing, and compliance checks at every stage and remediation as required. The Senior Director will implement contemporary, cost-effective tools and practices to maximize efficiencies while providing appropriate technical security rigor. They will leverage emerging tools, like AI guardrails and AI-native tools that provide code context reasoning, to protect against longstanding security risks (e.g., OWASP Top 10) and more sophisticated and developing threats (e.g., OWASP Top 10 for Agentic Applications). The Senior Director will lead a robust Security Champions program to scale security awareness, implement secure coding principles, and empower developer-led code reviews and risk mitigation where appropriate. They will work closely with Docusign’s Red Team and PSIRT to proactively identify and remediate vulnerabilities and systemic risks. And they will provide deep, technical expertise in leading the Product Security team, advising senior leaders, and shaping the behaviors of cross-functional teams.This position is a people manager role reporting to the Chief Information Security Officer.ResponsibilityManage product security from design through release and maintenanceEmbed with Product, Technology, and Digital Technology teams to oversee product and developer technical designs; manage SDLC and CI/CD processes, gating, and standards; and ensure Docusign products are secureMaintain deep technical expertise in components/capabilities of the product ecosystemMaintain deep technical expertise in security threats, trends, technologies, and industry best practices (existing and emerging)Manage efficient, effective security solutions aligned with business needs (e.g., support continuing improvements in automating CI/CD pipelines that leverage infrastructure as code with tools like Terraform plus containerization; e.g., support secure development of Intelligent Agreement Management within the Docusign platform plus secure development of AI capabilities for internal company usage of AI capabilities)Manage, lead, and train their team of security engineers and architects to implement and maintain a high performing product security program that implements best practicesImplement contemporary tooling and automation to optimize insights, efficiency, and efficacy while enhancing technical security rigorContribute to technical requirements, architectural design and modification, interface design documents, and educational resourcesServe as a senior escalation point for complex or high risk vulnerabilities; drive architectural, process, and implementation improvements from lessons learnedBuild a high-performing, product-driven team focused on measurable outcomes and continuous improvement; implement tailored program goals, objectives, milestones, key results, and key performance indicators to drive consistent progress and outcomesEnsure products meet internal security standards, industry frameworks, and regulatory requirementsServe as a trusted leader/advisor to the CISO, other executives, and teams – translating technical risk into business impact, providing clear updates, trade-offs, and adviceBuild collaboration and effective relationships with cross-functional teams to ensure frictionless security and paved path approaches with engineering leadershipJob DesignationHybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.What you bringBasic12+ years in Product Security, Application Security, or closely related security and engineering disciplines, with 8+ years in highly technical leadership rolesBachelor’s degree in computer science, data science, artificial intelligence, machine learning, cybersecurity, risk management, or a related technical fieldExperience designing and leading product security programs, including but not limited to technical architecture/secure design reviews, threat modeling, secure coding principles and checklists, security tooling and scanning, security champions, SDLC, CI/CD, automating pipelines and gates, vulnerability management, and remediationExperience with common security vulnerabilities (e.g., OWASP Top 10, API Security Top 10, Agentic Top 10, open source software/supply chain, etc.) and their remediations, and addressing the full range of software risks across products and with cross-functional teams such as Product, Technology, and PSIRTExperience with benchmarks for AI such as Xbow, CVE-Bench Bounty-bench and others as well as the need for AI benchmarks and requirementsExperience in implementing or improving product security tools where they previously did not exist, did not perform to expectations, and/or better options emerged (e.g., static and dynamic analysis tools, including vulnerability scanning suites)Experience in implementing or improving product security gates where they previously did not exist, did not perform to expectations, and/or better options emergedExperience embedding security within partner engineering teams through distributed training and enablement in a program, such as Security ChampionsExperience with development and build pipelines and automating CI/CDExperience with cloud infrastructure using infrastructure as codeExperience with securing AI/ML implementationsExperience with securely developing APIs and associated tooling against threats, such as unauthorized access and data compromiseExperience with identity verification and cryptographyExperience in one or more programming languages relevant to the organization (e.g., C#/.NET Framework/Core, Python, Java, JavaScript)Experience defining security KPIs, metrics pipelines, and executive reporting frameworksPreferredCertifications: CISSP, CSSLP, CISM, CCISO, GSLC, CASE, OSWE, or equivalentSubstantial experience in AI product security, including AI guardrails, model scanning, agentic development standards, and AI-specific risks (e.g., OWASP Top 10 for Agentic Applications, OWASP Top 10 for LLM Applications)Knowledge of AI governance frameworks (e.g., AI RMF, ISO 42001)Experience driving automation strategies, predictive analytics, and data-driven insightsFormer experience as a software developer and/or engineerMaster’s degree or higherDeeply technical with strong strategic vision, tactical acumen, excellence in executionForward looking and acting; must understand and address current and future threats and business requirements exceedingly well and manage products and her team to suitSuperb cross-functional collaboration and stakeholder engagement across technical and business relationships, especially with Product, Technology, Digital Technology, Security, and executive teamsGrowth and product mindset; oriented to action and delivery; professional teammateWage TransparencyPay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.Based on applicable legislation, the below details pay ranges in the following locations:California: $244,000.00 - $390,575.00 base salaryWashington, Maryland, New Jersey and New York (including NYC metro area): $228,400.00 - $344,575.00 base salaryThis role is also eligible for the following:Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.Stock: This role is eligible to receive Restricted Stock Units (RSUs).Global benefits provide options for the following:Paid Time Off: earned time off, as well as paid company holidays based on regionPaid Parental Leave: take up to six months off with your child after birth, adoption or foster care placementFull Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employmentRetirement Plans: select retirement and pension programs with potential for employer contributionsLearning and Development: options for coaching, online courses and education reimbursementsCompassionate Care Leave: paid time off following the loss of a loved one and other life-changing eventsLife at DocuSignWorking hereDocusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what’s right, every day. At Docusign, everything is equal.We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you’ll be loved by us, our customers, and the world in which we live.AccommodationDocusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.Applicant and Candidate Privacy NoticeStates Not Eligible for EmploymentThis position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming.EEO StatementIt's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category.EEO Know Your Rights posterJob SummaryLocation: US-CA-San Francisco | US-WA-SeattleCategory: SecurityPosition Type: Regular

What You Can ExpectYou’ll design, build, and own the platform that powers Zoom AI Services, enabling AI capabilities to be delivered as scalable cloud services for both Zoom products and external developers. You’ll work across API design, distributed systems, cloud infrastructure, and AI platform engineering to build reliable, high-performance services that power speech, translation, summarization, reasoning, and future AI capabilities at production scale.About the TeamYou will join the Zoom AI Services team responsible for building Zoom’s unified AI platform. The team develops the cloud platform, APIs, and infrastructure that enable AI capabilities to be shared across Zoom products while exposing the same services to enterprise customers and developers. We work closely with AI modeling teams, Zoom Cloud Platform, and product engineering teams to deliver scalable, reliable, and cost-efficient AI services.ResponsibilitiesDesign and build large-scale cloud services powering Zoom AI APIs and developer platform.Design reusable APIs, service abstractions, and platform components for AI capabilities.Build distributed systems supporting synchronous, asynchronous, and streaming AI workloads.Improve scalability, reliability, observability, and operational efficiency of AI services.Design scheduling, resource management, and workload orchestration for large-scale CPU and GPU infrastructure.Partner closely with AI modeling, platform, and product teams to onboard new AI capabilities onto the Zoom AI Services platform.Drive technical architecture and engineering best practices across the team.What We’re Looking ForBachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience.8+ years of software engineering experience building distributed systems, cloud platforms, or large-scale backend services.Experience building and operating production AI services such as Speech Recognition (ASR), Machine Translation (MT), LLM applications, AI Agents, Search, Document Intelligence, Computer Vision, or similar AI-powered cloud services.Strong experience designing and operating large-scale cloud services, including microservices, service-oriented architectures, and multi-tenant platforms.Experience designing developer-facing APIs, SDKs, or cloud platform services with a strong API-first mindset.Strong understanding of Kubernetes, containers, distributed systems, networking, and cloud-native technologies.Experience building highly available, scalable, and observable production systems running at cloud scale.Experience working with AI infrastructure, including model serving, AI inference platforms, GPU/CPU resource management, or ML infrastructure.Strong programming skills in Go, Java, C++, Python, or similar languages.Excellent system design, technical leadership, and cross-functional collaboration skills, with the ability to drive architecture across multiple engineering teams.PreferredExperience with one or more major cloud platforms (AWS, Azure, or GCP).Experience optimizing large-scale AI workloads for performance, scalability, reliability, or cost.Experience contributing to AI platforms serving both internal products and external developers.Experience with open-source AI infrastructure such as Kubernetes, Istio, vLLM, Triton, SGLang, Ray, or similar technologies.Salary Range or On Target Earnings:Minimum:$177,100.00Maximum:$387,500.00In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.We also have a location based compensation structure; there may be a different range for candidates in this and other locations.Ways of WorkingOur structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.BenefitsAs part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learnfor more information.About UsZoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.Our CommitmentAt Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step.We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.Think of this opportunity as a marathon, not a sprint! We're building a strong team at Zoom, and we're looking for talented individuals to join us for the long haul. No need to rush your application – take your time to ensure it's a good fit for your career goals. We continuously review applications, so submit yours whenever you're ready to take the next step.Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. Please refer to our candidate privacy statement for more information of how we use your data.SummaryLocation: Seattle (WA); San Jose (CA)Type: Full time

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.ABOUT THE ROLESnowpark is how developers run distributed Python, Java, and Scala workloads directly on the Snowflake platform — securely, at scale, and without moving data. It is one of Snowflake's most differentiated and fastest-growing products, and as workloads become agent-driven — where Python is the default — its growth is only accelerating. Having expanded from structured data into semi-structured and ETL workloads, Snowpark is now entering its most exciting phase: unstructured, multimodal, and agentic AI data processing.We are looking for a Principal Product Manager to own Snowpark and lead this next chapter. This is a general-manager-style role: you will own the strategy, growth, and go-to-market for a critical product line, acting as an entrepreneur with the autonomy to propose and launch multiple 01 bets on top of an already highly successful product. You will be the most senior PM on the product, with a clear path to lead the Snowpark PM team as you demonstrate impact.AS A PRINCIPAL PM AT SNOWFLAKE, YOU WILL:Define the Mission: Own the end-to-end, multi-year strategy and roadmap for Snowpark as the standard for distributed Python, Java, and Scala processing on the data platform.Lead the 01: Drive the expansion into unstructured/multimodal data processing and agentic, Python-based data engineering — the greenfield bets that open new markets for Snowflake.Own the Platform: Own ML and AI inference workloads, Python expansion areas, batch pipelines, and the core Snowpark surface — execution engine, security, and governance.Drive Go-To-Market: Act as a GM for the product, partnering with Sales, Sales Engineering, and Marketing to accelerate adoption and growth.Collaborate Across Boundaries: Partner with engineering, ecosystem, and orchestration teams (e.g., Airflow integrations) to define the end-to-end Snowpark experience.Be the Go-To Expert: Become the definitive voice on Snowpark — internally for engineering and SEs, and externally for customers.OUR IDEAL CANDIDATE HAS:8+ years of Product Management experience in developer platforms, data infrastructure, or cloud infrastructure.Technical Robustness: Deep familiarity with the Python ecosystem and distributed data processing at scale. You are comfortable debating technical tradeoffs with senior engineers, ideally from hands-on experience as a Python developer, data scientist, or data engineer.A Growth Mindset: A proven track record of taking products 01 and/or driving high growth on something you personally owned.AI-Native Fluency: Familiarity with modern AI tooling for data platforms (e.g., MCP, agentic workflows, ML inference) and how they reshape data processing.Analytical Rigor: Data-driven and comfortable using metrics and AI-assisted analysis to hyper-prioritize and iterate under ambiguity.High Ownership: Resilient, low-ego, and diplomatic — able to have candid, tough conversations while keeping cross-functional partners aligned.BONUS POINTS:Experience at a cloud platform provider (serverless/data processing), an open-source Python ecosystem company (e.g., Ray/AnyScale), a streaming platform (e.g., Flink/Confluent), or a PyData-space startup.Prior experience with unstructured or multimodal data processing.GM-style ownership of a product line, including go-to-market and business outcomes.A background of leading or mentoring other product managers.Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.How do you want to make your impact?For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.comCompensation Range: $264K - $379.5KLocationUS-WA-Bellevue; US-CA-Menlo ParkEmployment TypeFull timeDepartmentProduct ManagementCompensation$264K – $379.5K

Job Description Objectives of this role Lead team scrums to define product vision, roadmap, and growth opportunities, and communicate with stakeholders throughout the project Collaborate with internal and external contacts to analyze needs and align product roadmap to strategic goals Work closely with product managers and business teams to create and maintain product backlog according to business value or ROI Remain up to date on trends and best practices for agile project management Responsibilities Design software and business processes, including process modeling and user story grooming, in industrial verticals including the heavy platforms Cloud foundry and Kubernetes. Interpret business requirements and create capabilities in Jira Align, breaking them into features and functional/technical user stories in Jira. Refine the functional and technical user stories with the offshore and onshore Devops including the review of the test cases with SDETs and Manual testing team. Partner with multiple businesses enterprise-wide, MTS, and various stakeholders to define the current customer experience, identify areas of improvement, and use the inputs to create and drive product vision and Roadmap. Design and develop integration scripts and procedures using Enterprise Application Integration (EAI) tools and integrate with backend services. Define and resolve impediments in the Kubernetes platform impacting the customers, including the internal Gen 3 to Gen 4 migrations and the various component upgrades. Knowledge, Skills, and Abilities: Experience with Public Cloud platforms like AWS, Azure and GCP Experience with Container Technologies like EKS, AKS, OpenShift, Kubernetes on On-premises Familiar with automation tools and frameworks (Ansible, Terraform, Crossplane) Familiar with coding and scripting languages (eg, Python, GO, Bash) Designing and building the Customer Journey for application or Kubernetes platform team using Grafana Dashboards; Converting high level business requirements into features/user stories using Agile tools, Jira, and Jira Align; Collaborating with business teams/customer teams to identify the pain points in the customer journey, and work on providing resolutions by creating and driving the vision and roadmap using Roadmunk Verifying and validating data in the Facility Pricing tool to assess customer risk, collateral, profitability, and fees through SQL Queries using Oracle SQL Developer tool.

Job Description:DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future. DataRobot’s Fleet team is the engine behind how our platform runs across all customer environments—multi-tenant SaaS, single-tenant SaaS, VPC, and on-prem deployments. We build and operate the foundational Kubernetes infrastructure that powers everything from CI/CD to service orchestration and deployment at scale.We support a wide variety of deployment models—from SaaS to on-prem - using a Kubernetes-native approach and modern toolset. Our mission is to unify how we build, deploy, and operate the platform across environments while improving resilience, maintainability, and developer velocity.The next 1–2 years will be transformative for the Fleet team. We’re laying the groundwork to enable unified deployment experiences, zero-downtime upgrades, and intelligent platform automation—while lowering Total Cost of Ownership (TCO) and boosting developer velocity. That’s where you come in.As a Staff Software Engineer, you’ll be responsible for technical leadership and vision. You’ll lead by example—rolling up your sleeves as a technical contributor to solve complex problems, shaping architecture, and mentoring engineers to do their best work and advance their careers. You’ll work across our control plane systems, influence cross-team roadmaps, and bring pragmatic engineering practices into how we build, test, and operate infrastructure software.This is not a “stay in your swim lane” role. You’ll question assumptions, challenge complexity, and help drive a high-performance culture. You’ll be trusted to bring clarity where there’s ambiguity, and momentum where there’s inertia.This role includes participation in an on-call rotation—we believe in shared ownership of our platform and aim to build systems that are resilient, observable, and require minimal intervention.What You’ll Do:Architect and implement scalable, secure Kubernetes-based infrastructure for multi-cloud and hybrid environments.Lead technical direction for core Fleet initiatives—control plane services, tenancy models, deployment pipelines, observability layers, and more.Mentor engineers across the team, fostering a strong engineering culture of ownership, curiosity, and excellence.Drive modernization efforts—introducing patterns like GitOps, Policy-as-Code (Kyverno), Cilium networking, autoscaling, and better resource efficiency.Collaborate deeply with SRE, Platform, and Application teams to align infrastructure capabilities with real-world product demands.Champion best practices in CI/CD, reliability, container lifecycle management, and dev experience.Be a thought partner to engineering leadership and help shape how Fleet scales its impact across the company.What We’re Looking For:7-10+ years of engineering experience, with at least 5+ in infrastructure, platform, or backend systems roles.Deep expertise in Kubernetes internals and operations, including networking, scheduling, scaling, and controller patterns.Proven ability to design and build systems from scratch, making pragmatic tradeoffs along the way.Strong proficiency in modern programming languages such as Python or Go. Experience building production-quality, reliable, and observable systems that are used across engineering organizations.A growth-oriented mindset—driven to teach, learn, and improve systems as well as people.Experience operating across multiple cloud providers (AWS, GCP, Azure) and/or hybrid environments.Strong experience with Helm, container orchestration patterns, and CI/CD automation.Comfortable working with IaC (Terraform, Pulumi) and GitOps workflows.Ability to influence without authority and align diverse stakeholders around technical decisions.Nice to Have:Familiarity with Cilium, Kyverno, KEDA, Gateway API, OPA, or similar technologies.Experience building and running multi-tenant SaaS platforms.Exposure to on-prem delivery models or regulated environments.Experience with performance tuning for large-scale data or compute workloads.Past success driving infrastructure transformation or decomposing legacy systems.Experience working with GPU infrastructure for training and inference.Why Join the Fleet Management team?:This is your chance to shape the platform that powers every DataRobot product. You’ll be surrounded by passionate engineers and leaders who care about doing the right thing—for the business, for the customer, and for each other. You’ll grow fast, challenge the status quo, and leave a legacy that enables hundreds of engineers to ship faster, safer, and smarter.The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!DataRobot Operating Principles:Wow Our CustomersSet High StandardsBe Better Than YesterdayBe RigorousAssume Positive IntentHave the Tough ConversationsBe Better TogetherDebate, Decide, CommitDeliver ResultsOvercommunicateAll DataRobot hires are required to complete a background check prior to starting employment, which includes identity verification, criminal history check, employment verification and education verification. Additionally, all DataRobot employees must be available to attend in-person company trainings and meetings.Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We’d love to have a conversation with you and see if you might be a great fit. DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.All applicant data submitted is handled in accordance with our Applicant Privacy Policy.SummaryLocation: Boston, Massachusetts, US; Kyiv, Ukraine; Seattle, Washington, US; Lviv, Ukraine; Remote Canada - ON; Remote Poland; San Francisco, California, USType: Full time

FEQ327R400MissionSolutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team.The impact you will have:Partner with the sales team to help customers understand how Databricks can help solve their business problemsProvide technical leadership for customers to evaluate and adopt DatabricksConsult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applicationsBuild and present references architectures, how-tos, and demo applications for customersBecome an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinarsTravel to customers in your regionWhat we look for:7+ years in a customer-facing pre-sales, technical architecture, or consulting roleExperience designing and architecting distributed data systemsComfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or RHave built solutions with public cloud providers such as AWS, Azure, or GCPData Engineering technologies (Ex: Spark, Hadoop, Kafka)Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)Experience supporting Financial Services clients is a plus[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)Pay Range TransparencyDatabricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.Local Pay Range$180,000—$247,500 USDAbout DatabricksDatabricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.Our Commitment to Diversity and InclusionAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.ComplianceIf access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.Applicant Privacy Notice

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceSalesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.The ExperienceSalesforce is building the next generation of intelligent customer and business platforms by combining CRM, enterprise data, automation, and AI. As part of this vision, we are investing in a unified engineering ecosystem that spans Salesforce applications, Data 360, customer data platforms, enterprise integrations, and AI-powered developer experiences.We are seeking a highly motivated, hands-on Principal Member of Technical Staff (PMTS) who brings a rare combination of software engineering, data engineering, and AI expertise. This role is ideal for a technical leader who can seamlessly operate across CRM applications, enterprise integrations, data platforms, and modern AI-powered development environments.You will help define the technical strategy for critical business capabilities while building scalable systems that connect transactional applications with enterprise data platforms. Just as importantly, you will be a force multiplier for engineering productivity by leveraging modern AI development platforms to accelerate software delivery and developer efficiency.What You'll Actually Be DoingDefine and drive technical strategy across Salesforce CRM, Data 360, enterprise data platforms, and AI-enabled engineering initiatives.Architect and build large-scale applications using Salesforce Core, Apex, Lightning Platform, MuleSoft, Heroku, APIs, and cloud-native services.Design and implement enterprise data products, data pipelines, and data services supporting customer, account, marketing, and operational use cases.Build scalable integrations between Salesforce applications, Data 360, Snowflake, enterprise data warehouses, and external systems using APIs, streaming, and event-driven architectures.Design and develop AI-powered engineering accelerators, developer tools, code generation frameworks, testing automation solutions, and operational tooling using Claude Code, Cursor, Windsurf, GitHub Copilot, and agentic AI technologies.Partner closely with Product Managers, Architects, Data Engineers, and Software Engineers to define platform roadmaps and long-term architectural direction.Drive the design of highly scalable data processing frameworks leveraging Airflow, Python, SQL, streaming technologies, CDC patterns, and modern cloud-native architectures.Establish engineering standards for data quality, observability, platform reliability, governance, and operational excellence.Mentor senior engineers and provide technical leadership across multiple teams and business domains.Lead complex production investigations spanning applications, integrations, data pipelines, and platform services.You're Our Person If...12+ years of experience across software engineering, platform engineering, data engineering, or enterprise application development.Strong hands-on experience building applications on Salesforce technologies including Apex, Lightning Platform, CRM, APIs, MuleSoft, and Heroku.Strong experience building enterprise-scale data platforms, data products, data pipelines, and data-intensive applications.Deep expertise in Python, SQL, distributed data processing, orchestration frameworks, and modern data engineering practices.Experience designing and operating large-scale ETL/ELT pipelines using Airflow or similar orchestration technologies.Proven experience integrating application platforms with enterprise data ecosystems using APIs, streaming technologies, event-driven architectures, and cloud-native services.Demonstrated experience building AI-powered developer tools, engineering productivity platforms, or software delivery accelerators using modern AI platforms such as Claude Code, Cursor, Windsurf, GitHub Copilot, or equivalent technologies.Strong understanding of Generative AI, agentic workflows, MCP frameworks, and practical applications of AI within enterprise software engineering organizations.Ability to influence technical direction across multiple teams and organizations while remaining deeply hands-on.Proven ability to take complex technical initiatives from concept through production deployment.Even Better If...Experience with Salesforce Data Cloud (Data360), Customer 360, Identity Resolution, Data Modeling, Segmentation, Activations, or Customer Data Platforms.Experience building marketing technology, personalization, customer engagement, or campaign management applications.Experience with Snowflake, Databricks, Kafka, CDC frameworks, and modern cloud data platforms.Experience building customer identity, profile, account hierarchy, master data, or knowledge graph solutions.Experience with Retrieval-Augmented Generation (RAG), vector databases, AI agents, semantic search, or AI-native application architectures.Experience building internal developer platforms, engineering productivity systems, CI/CD automation, or product engineering solutions.Experience working across both application engineering and data engineering domains at enterprise scale.Unleash Your PotentialWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.AccommodationsIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $197,300 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.SummaryLocation: California - San Francisco; New York - New York; Washington - Seattle; Indiana - IndianapolisType: Full time

Secure Every Identity, from AI to HumanIdentity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.The Security TeamOkta is The World's Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transform how people move through the digital world, putting Identity at the heart of business security and growth.At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every box—we're looking for lifelong learners and people who can improve us with their unique experiences.Join our team! We're building a world where Identity belongs to you.The Staff Product Security Engineer OpportunityThe Security team's mission is to strengthen Okta's position as the leading Identity-as-a-service solutions provider by identifying and resolving risks to employees, products, and, most importantly, our customers.The Staff AI Product Security Engineer joins a team with a clear mission: to shape the future of application security by researching and building systems that prove how AI can fundamentally augment, automate, and scale defense. This is a hybrid research, offensive and software engineering role centered on leveraging AI to uncover vulnerabilities, automate root cause analysis, automate exploitation, and generate secure code patches at cloud scale.This role is built for engineers who want to push the limits of what AI can do for security, from benchmarking SOTA frontier models and fine-tuning open-weight models to building production-grade security tooling across Product Security. While a main focus will be on creating intelligent, automated security capabilities that keep Okta continuously ahead of emerging threats, performing full security reviews of Okta's products, as well as agentic architectures and internal AI pipelines, to uncover, exploit and fix vulnerabilities is also part of the work.The ideal candidate thinks creatively but also like an attacker, builds like an engineer, and publishes their findings. We actively support external research disclosure through white papers, blog posts, and conference presentations.What You Will DoLead technical capability research evaluating frontier LLMs and customized open-weight models for advanced code analysis, autonomous attack and logical security reasoning.Engineer production-grade, AI-assisted security tools that automate vulnerability discovery, triaging, and risk validation across codebases.Architect context-aware code-repair engines that automatically recommend verified security fixes to software development teams.Build automated Proof-of-Concept (PoC) exploit generators in sandboxed runtimes to safely perform root cause analysis on identified vulnerabilities.Modify and fine-tune open-source models to carry out domain-specific defensive and offensive code analysis tasks.Embed AI models, unified APIs, and model-agnostic execution frameworks across Product Security tools to multiply team capabilities.Assess and secure internal AI platforms, agentic execution runtimes, and AI coding agent container environments.Perform manual code review and AI-assisted deep dives of Okta's products and system implementations across multiple languages. Develop threat models for agentic architectures, orchestration layers, and LLM-integrated services.Deliver technical reference blueprints and publish external research demonstrating how AI models transform modern security engineering.Run the AI security vendor and tooling evaluation program: design and operate a benchmarking harness against AI security tools.Conduct offensive security research focused on agentic AI systems: prompt injection, agent privilege escalation, tool-binding abuse, and agentic supply chain attacks against internal developer platforms.Translate research findings into actionable guidance for engineering teams building AI-powered features and platforms.What You Bring8+ years of experience in information security, with meaningful depth in application security, offensive research, or AI/ML security.Experience building security tooling and automation (scripts, scanners, detection logic, or evaluation harnesses) that other engineers actually use.Strong offensive mindset: the ability to model what an adversary does to break systems and how this translates to an agentic system, identify where the model's reasoning or the orchestration layer breaks down, and construct scenarios that make the risk concrete.Demonstrated hands-on experience assessing LLM-integrated systems and agentic AI architectures, not just familiarity with the concepts, but evidence of having found real vulnerabilities in them.Proficiency in at least two programming languages (Python and one of: Go, Java, TypeScript, C/C++).Advanced experience in threat modeling, manual code review, and penetration testing, applied to complex distributed systems.Knowledge of authentication and authorization protocols (OIDC, OAuth 2.0, SAML) and their implementation risks.Strong communication skills: the ability to write clearly for technical and non-technical audiences, document research findings with precision, and present at external venues.Experience producing external security research, publications, conference talks, blog posts, or open-source tooling.Desired Skills and AbilitiesExperience in vulnerability research and vulnerability discovery through source code auditing, as well as penetration testing skills.Familiarity with agentic framework internals (tool-use protocols, MCP, function-calling patterns, agent orchestration architectures).Experience with SAST, DAST, SCA, and fuzzing tooling applied to AI/ML pipelines or CI/CD systems.Strong cryptographic knowledge and experience in identifying cryptographic implementation flaws.Ability to develop proof-of-concept exploits that demonstrate vulnerabilities to engineering and product leadership. Plus, if able to exploit AI/Agentic-specific vulnerabilitiesExperience contributing to security standards, SDL processes, or vulnerability research programs.#LI-SM1#LI-Hybrid#LI-RemoteP25264_3461996The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $180,000—$247,000 USDBelow is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: . The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:$161,000—$221,000 USDThe Okta ExperienceSupporting Your Well-BeingDriving Social Impact Developing Talent and Fostering Connection + CommunityWe are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

Job ID: SRJ_8414Posted: 2026-02-11Location: Seattle,, WASalary: USD 75-80 / Hourly (C2C)Employment Type: 1099, C2C, W-2Industry: Computer SoftwareClient: WiproContact: Meghana GorusuCompany: SRI Tech SolutionsFull Stack Engineer I Location - Seattle, WA ( 5 days WFO)We are seeking a highly skilled Full Stack Developer with strong Data Engineering experience and proven expertise in API Development (must-have) to join our dynamic team. The ideal candidate will be responsible for designing, developing, and maintaining robust applications, APIs, and data pipelines that power our business solutions. You will work across the stack, integrating front-end, back-end, and data systems, and play a key role in ensuring data quality, performance, and scalability. Proficiency in Python for backend development is required.Key Responsibilities: · Design, develop, test, and debug end-to-end applications, including both front-end and back-end components. · Build, document, and maintain scalable, secure APIs and server-side logic. · Manage databases (SQL, Snowflake, NoSQL, Vector DB) and ensure efficient data access for APIs. · Develop and optimize ETL/data pipelines and large-scale data processing frameworks. · Integrate systems to ensure seamless operation between front-end, back-end, APIs, and data platforms. · Collaborate with cross-functional teams to define requirements, UI/UX, and technical specifications. · Maintain and upgrade applications and APIs post-deployment, including troubleshooting and production support. · Implement CI/CD pipelines and containerized deployments using Docker and cloud platforms (AWS/Azure/GCP). · Ensure data quality, performance optimization, and data modeling best practices.Required Skills: · 7+ years of experience in full-stack development, with a focus on backend applications using Python. · 3+ years of hands-on experience in Data Engineering, including ETL, data pipelines, and large-scale data processing. · 3+ years of proven experience in designing, developing, and maintaining RESTful APIs (must-have). · Proficiency in JavaScript (ES6+), HTML, CSS, and modern front-end frameworks (React, Angular, or Vue). · Strong experience with backend technologies: Python (Django, Flask, or Pyramid), Node.js, Express. · Expertise in SQL, Snowflake, PostgreSQL, and cloud data platforms (Azure preferred). · Experience with containerization (Docker) and CI/CD tools (GitHub Actions, Jenkins, Octopus, etc.). · Familiarity with data science and machine learning concepts and tools (Numpy, Pandas, Scipy). · Strong problem-solving, debugging, and communication skills; experience working in Agile/Scrum teams.· Experience with version control (Git) and collaborative developmentSRI Tech Solutions is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national origin or citizenship status or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria.

At Rover, pets and their people are at the heart of everything we do. We connect pet parents with trusted pet care across the U.S., Canada, Europe, and Australia. Headquartered in Seattle and Barcelona, we're a values driven, fast-growing tech company focused on building safe and personalized experiences tailored to the needs of each unique pet. We're investing in AI as a business accelerator and provide every team member access to AI tools in service of creating better experiences for our community. We are proud to be recognized as a great place to work, having been named among the 100 Best Companies to Work For in Seattle Business Magazine and Washington's Best Workplaces in the Puget Sound Business Journal. At Rover we're committed to creating an accessible, inclusive, and welcoming community, which starts with our employees. Want to make an impact? Join our pack and come work (and play!) with us. This is a hybrid position that has the minimum expectation to work out of our Downtown Seattle Office two days per week on Mondays and Thursdays. For this reason, candidates must be based in the Greater Seattle Area or willing to relocate. The Payments team is dedicated to bringing a convenient, secure, and successful payments experience to Rover customers on our platform. Our team's directives are to: • Provide a robust payments platform to support business growth - we continue to improve our platform by expanding our payment offerings, optimizing checkout flows, and reducing our bottom line expenses with high-impact and high-visibility projects., • Ensure customers can easily checkout and that providers get paid promptly - we own the integrations with our payment service providers, ensure PCI compliance, and provide a great customer experience for all the money that flows through our marketplace, including payins & payouts., • Ensure financial transaction completeness, accuracy, and auditability., • Influence and lead our long-term technical vision and roadmap in partnership with senior management., • Design and lead complex and impactful changes to our payments, orders, and accounting systems with long-term scalability, reliability, and maintainability in mind., • Work across multiple teams in the finance space., • Directly influence the customer experience., • Work with stakeholders from accounting, finance, tax, product and design to drive technical decisions and improve processes., • Mentor engineers to help grow and advance their careers., • Drive best practices across the finance organization and the company., • Enjoy seeing their own efforts have an outsized impact on the business and our customers., • Enjoy taking on the new challenges that arise as the company grows., • Are eager to learn and improve their craft as a software engineer., • Are excited to learn new technologies and contribute across the stack., • Are passionate about building a deep understanding of how Rover's systems behave and use that insight to identify risks and opportunities., • Are able to take loose requirements, work with others to figure out what needs to be done, and drive a project forward., • Enjoy working across the technical stack, both frontend and backend., • Understand the needs of multiple stakeholders, from end users to internal teams such as tax and accounting, • Get along well with others and thrive in a collaborative environment and your values align with Rover's Core Values, • Enjoy being part of a great community of pet lovers., • 10+ years experience as a professional software developer., • Experience with Python., • Experience building and maintaining scalable, reliable services, and distributed systems., • Experience creating and driving complex technical designs and processes across multiple teams., • Expertise with databases, ideally relational databases and schema design., • Experience translating ambiguous requirements into technical solutions., • Experience owning and delivering large-scale business initiatives., • Experience with large-scale consumer-facing websites., • Bonus: Experience using 3rd party payment processors APIs like Stripe, Braintree, or Paypal., • Bonus: Experience with React or other modern JavaScript frameworks, • Bonus: Experience designing and/or building accounting or payment processing systems., • We are proud to be professional software developers building high quality, scalable and supportable solutions., • We are curious and passionate about learning, providing the right environment and resources for professional growth., • We are committed to building, fostering and maintaining a culture of inclusivity and diversity both on our teams and in our products., • We embrace progressive engineering practices including automated testing and a continuous deployment pipeline., • We are serious about the quality of our production operation, and have thorough system, application and user interaction monitoring and anomaly detection., • We are passionate about data-driven decision-making., • We are friendly, supportive and respectful, and we pay attention to the impact and quality of our work as well as keeping work/life balance., • And, dogs in the office. Bring yours, too!, • Competitive compensation, • 401k match, • Long-term incentive plan with a company performance-based cash payout, • Flexible PTO, • Competitive benefits package, including medical, dental, and vision insurance, • Commuter benefits, • Bring your dog to work (and unlimited puppy time), • Pet benefits, including $1000 toward adopting your first dog or cat, • Stocked fridges, coffee, soda, and lots of treats (for humans and dogs) and free catered lunches monthly, • Regular team activities performed in-person and virtually, • In the greater Seattle area the first-year salary range is $182,290-$260,000. Additionally, Rover offers benefits to full-time employees., • The cash compensation offered for this role will be dependent on the candidate's experience, qualifications, skills, and abilities as demonstrated in the interview and hiring process. At Rover, we're driven by seeing our people succeed and grow, while doing our jobs better than ever before. We believe the best business outcomes come from a diverse set of perspectives and we're committed to promoting an inclusive, inventive, and fun environment with amazing employees. We welcome and encourage applicants from all backgrounds to apply. Rover is an equal opportunity employer. We consider all qualified applicants without regard to age, race, color, ancestry, national origin, religion, disability, military or veteran status, sex, pregnancy, gender identity or expression, sexual orientation, marital or partnership status, genetic predisposition, or any other protected status in accordance with applicable federal, state and local laws. We are committed to work with you to look for reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceSalesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.Salesforce is seeking a Principal Software Engineer (PMTS) to join the Agentforce Process Intelligence team, building process mining and optimization capabilities within the Agentforce platform. You will act as a technical leader across one or more teams, owning the end-to-end architecture of backend services and full-stack applications that enable enterprise customers to discover, simulate, and optimize their business processes at scale.This role sits at the intersection of large-scale distributed systems, data-intensive analytics, and cloud platform engineering. You will be a leading technical representative across the application stack, negotiating interfaces with peer teams, driving architectural alignment across the product, and setting the bar for non-functional quality — availability, multi-tenancy, security, and performance across Java and Python application services.Your Impact• Drive the architecture, design, implementation, and delivery of secure, highly scalable backend services deployed on Kubernetes in a cellular, multi-AZ cloud architecture, and act as the technical leader for one or more teams..• Set the long-term technical vision (12–18 month horizon) for the Backend / Full-Stack pillar, including the evolution of Java-based application services (Spring Boot, Hibernate 6+, JPA) and companion microservices toward a pooled multi-tenant model with end-to-end tenant isolation..• Own the architecture for Python-based data processing services and ETL pipelines that feed large-scale data ingestion and transformation, ensuring contracts with the data platform layer are clean and forward-compatible..• Lead the API strategy powering the pillar's headless architecture: own the design, versioning, deprecation policy, and long-term contract stewardship for public and internal APIs that expose Process Intelligence capabilities to Agentforce agents, Salesforce clouds (Data Cloud, Sales, Service, Field Service), and external customers..• Architect database consolidation and migration efforts using PostgreSQL, Liquibase, and connection pooling strategies, and validate the technical plans your teams produce against scalability, availability, and tenant-isolation requirements..• Drive integration with big data query and processing layers (distributed query engines, columnar storage formats) so analytical workloads route correctly and meet SLOs..• Architect authentication and authorization integrations with identity providers (session-based auth, mTLS for service-to-service communication) and partner with Security on threat modeling, AppSec, and AI safety guardrails for new features..• Define SLIs and SLOs for the team's features and services in partnership with Product, design rollout strategy and telemetry that spans pre-release / canary / stagger periods, and lead service ownership: on-call rotations, ops and readiness reviews, runbooks, and automation..• Set test strategy across the pillar — unit, integration, functional, regression, performance — and approve test plans for cross-team initiatives..• Write architectural documents, design specifications, and test plans for projects that span multiple teams; lead and participate in design reviews; and provide constructive feedback on peer teams' designs..• Shape the team through reviews and backlog stewardship: coach LMTS and SMTS engineers primarily via design and code reviews, manage the technical backlog so team goals and long-term technical debt are both addressed, and propose standards where they don't yet exist across the organization..• Raise the technical bar of the pillar and the wider org: serve as a bar-raiser on PMTS/LMTS interview panels, calibrate LMTS to PMTS growth on peer teams, and shape hiring criteria for senior technical roles..• Represent the team to VP-level engineering leadership, Product, and external stakeholders — clearly and concisely explaining initiatives, high-level architectures, and trade-offs; act as a technical liaison for Customer Trust when needed..• Champion Customer Trust within the team: reinforce non-functional requirements and engage directly with customers to validate that features solve real problems..• Act as the senior technical owner for enterprise customer integration engagements — partner with customers, integration partners, and peer cloud teams to unblock complex integrations, ratify integration patterns, and translate customer requirements into forward-compatible API contracts..• Lead collaborative incident response: facilitate sev-1/sev-2 bridges, drive root-cause analysis and follow-through on corrective actions, and contribute directly to live production issues alongside the on-call engineer when the situation demands it..Required Qualifications• 10+ years of professional software development experience, with a proven track record of shipping enterprise SaaS at scale and operating in a Principal-level technical leadership capacity..• Strong proficiency in Java and Python, with production-level fluency across both in real systems..• Deep experience with Java backend frameworks: Spring Boot, Hibernate/JPA, Tomcat, and relational database integration (PostgreSQL, MySQL)..• Architectural expertise in relational databases, data modeling, schema migration tools (Liquibase, Alembic), and query optimization..• Deep experience with multi-tenant SaaS ecosystems and cloud platform engineering, including tenant-isolation patterns across database, cache, and storage layers..• Experience designing, operating, and evolving highly available distributed systems on AWS or comparable cloud platforms, with 99.99%+ availability targets..• Expertise in containerization and orchestration (Kubernetes, Docker) in production environments..• Expertise in REST API design, service mesh architectures, and mTLS / zero-trust security models..• Proven experience leading API strategy for a headless / API-first product — public API design, versioning, deprecation, and developer-experience stewardship across consuming teams and external partners..• Experience with big data technologies: Apache Spark, Trino/Presto, Parquet, Iceberg, or similar columnar/lakehouse formats..• Demonstrated ability to drive proactive threat modeling and partner with security/compliance on AppSec, vulnerability management, and AI safety considerations for new features..• Experience with automated testing including unit, integration, and functional testing (JUnit, pytest, Selenium, Playwright), and a track record of defining test strategy for complex, cross-team systems..• Demonstrated ownership of production incident response at enterprise scale — leading bridges, driving RCA, and translating incidents into durable engineering investments (observability, resilience patterns, rollout safety)..• Track record of acting as the senior technical contact for enterprise customer integrations — negotiating contracts, unblocking integration engagements, and shaping product direction based on customer signal..• Proven ability to lead technical initiatives across multiple teams, mentor LMTS/SMTS engineers, and drive architectural alignment across organizational boundaries..• Exceptional communication skills including the ability to present technical strategy and trade-offs to VP-level engineering leadership, Product, and external customers..• A related technical degree required..Preferred Qualifications• Proficiency with Python backend/data frameworks (SQLAlchemy, FastAPI or Flask) and data processing libraries (PySpark, Pandas)..• Experience with Redis (caching, pub/sub, session management) and S3-based storage patterns..• Experience leveraging AI capabilities for SDLC automation — context-aware code generation, code review workflows, automated testing, vulnerability detection and remediation, and/or CI/CD optimization..• Experience with Agile development methodologies, test-driven development (TDD), and zero-downtime deployment patterns (blue/green, rolling releases)..• Familiarity with the business process management, process mining, or workflow automation domains..Unleash Your PotentialWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.AccommodationsIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $197,300 - $313,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.SummaryLocation: Washington - BellevueType: Full time

Our MissionAt Palo Alto Networks, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.Who We AreIn order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!This role is remote, but distance is no barrier to impact. Our hybrid teams collaborate across geographies to solve big problems, stay close to our customers, and grow together. You will be part of a culture that values trust, accountability, and shared success where your work truly matters.Job SummaryAs an AI Security Professional Services Consultant, you will be a hands-on delivery expert for Prisma AIRS, Palo Alto Networks' AI Runtime Security platform. You will deploy, configure, and tune AIRS across cloud and on-premises environments to protect customer AI applications from development through production. Additionally, you will establish scalable delivery patterns and architectures, integrating AI security profiles into complex enterprise application stacks. This role is crucial for driving global adoption and operationalizing AI security best practices.Key ResponsibilitiesPlan and execute end-to-end Prisma AIRS deployments across Network, API, Microperimeter, and Kubernetes intercept modes.Lead full customer onboarding, including license activation, deployment profile creation, and API key lifecycle management.Integrate AIRS into application stacks via REST APIs, LLM gateway proxies, CI/CD pipelines, and AI developer tools.Configure and tune AI security profiles for prompt injection, DLP, and guardrails in Strata Cloud Manager.Deliver Day-2 operations guidance, including dashboard reviews, API key rotation, and iterative detection tuning.Design LLM gateway security architectures with virtual key management and pre/post-call guardrail configuration.Extend security to agentic applications by implementing pre-tool-call scanning and defending against indirect prompt injections.Apply knowledge of LLM threat taxonomies, including prompt injection, jailbreaking, and OWASP Top 10 for LLMs.Evaluate fail-open versus fail-close trade-offs and inline scan latency impacts for customer workloads.Deploy AIRS infrastructure using Terraform across AWS, Azure, and GCP environments.Configure cloud IAM roles and service identities for secure firewall-to-cloud access.Install and configure Kubernetes CNI for container-level AI traffic inspection and IP tag harvesting.Deploy panredirect agents on Linux workloads, configuring selective steering rules and systemd persistence.Build and maintain scalable delivery templates, Terraform architectures, and API integration patterns.Collaborate with Product and Engineering to surface deployment edge cases and feature gaps.Deliver enablement workshops on AIRS architecture, threat scenarios, and operational runbooks.Qualifications Required QualificationsMinimum of 5 years of experience in a customer-facing technical delivery role, such as Professional Services or Solutions Engineering.Hands-on experience with Terraform or equivalent IaC tools for deploying infrastructure in AWS, Azure, or GCP.Working knowledge of Kubernetes, including kubectl, Helm charts, namespace management, and container networking (CNI).Strong cloud networking fundamentals involving VPC/VNet design, routing, load balancers, and IAM roles.Proven experience integrating REST APIs into applications, handling authentication, and testing with Python or curl.Familiarity with Linux system administration, including systemd service management and network interface configuration.Solid understanding of AI/ML concepts and the MLOps lifecycle.Deep knowledge of LLM security risks, including prompt injection, jailbreaking, and agentic attack surfaces.Familiarity with AI security frameworks such as OWASP Top 10 for LLMs or MITRE ATLAS.Proficiency in Python or equivalent scripting languages for automation and delivery tooling.Strong troubleshooting skills across cloud infrastructure, containerized workloads, and API integrations.Excellent communication skills to explain complex AI security architectures to technical and executive stakeholders.Preferred QualificationsDirect experience with Palo Alto Networks products like Strata Cloud Manager, Panorama, NGFW, or Prisma Cloud.Experience deploying or operating LLM gateway proxies such as LiteLLM, LangChain, or Kong AI Gateway.Hands-on experience with AI red teaming, structured adversarial testing, and jailbreak techniques.Background in agentic AI application development, including tool-calling agents and multi-agent systems.Familiarity with CI/CD pipeline security and developer tooling integration.Relevant certifications in cloud platforms (AWS, Azure, GCP), cybersecurity (CISSP, CEH), or AI/ML.Experience with advanced containerization platforms such as OpenShift, GKE Autopilot, or AKS.Compensation DisclosureThe compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.$140,000.00 - $192,500.00/yrOur Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.All your information will be kept confidential according to EEO guidelines.Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.SummaryLocation: Seattle, United States of America; Remote - USA - OK; Remote - USA - TX; Remote - USA - CA; Remote - USA - VA; Remote - USA - FLType: Full time

Are you passionate about building resilient, scalable systems that power the future of AI? At JPMorganChase, we're pushing the boundaries of what's possible with artificial intelligence and machine learning — and we need engineers like you to help us do it reliably, securely, and at scale.As a Lead Software Engineer at JPMorganChase within the AI/ML Data Platforms organization, you will be a key member of the Reliability Engineering team, driving the design and delivery of trusted, market-leading technology products. You will apply your deep technical expertise and problem-solving skills to enhance the reliability and scalability of AI/ML platforms, build reusable services and tooling, and partner across teams to unblock high-impact AI use cases. This is an opportunity to shape how the firm delivers AI capabilities — with operational excellence at the core.Job responsibilitiesDesign and implement solutions to enhance the reliability and scalability of AI/ML platforms and applications to accommodate fast-growing demandsDevelop secure, stable, and high-quality production code, and participate in code reviews, debugging, testing, and remediation of defects across AI Foundation Services componentsBuild and enhance reusable platform services, APIs, SDKs, and libraries that standardize how application teams consume model hosting, inference, and AI/ML managed servicesPartner with Lines of Business application teams to implement AI Foundation Services capabilities that unblock generative AI and AI use cases, supporting delivery from technical design through build, launch, and early operational supportOwn and evolve non-functional requirements and build/enhance tooling for observability, resilience, security controls, infrastructure management, and cost optimizationEstablish and enforce standards and reference architectures for reliability, observability, automation, and operational readiness across servicesPartner with product and platform engineering teams to define and meet service reliability targets, including performance, availability, and recoverabilityParticipate in on-call rotations, debug and resolve complex production issues; identify systemic gaps and drive durable remediationMentor and guide engineers; raise the bar on engineering quality, documentation, and operational rigorRequired qualifications, capabilities, and skillsFormal training or certification on software engineering concepts and 5+ years applied experienceStrong hands-on coding experience in Python with experience delivering production-grade servicesDemonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and securityStrong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practicesHands-on practical experience with system design, automated testing, debugging, and operational stability for production softwareExperience implementing observability, logging, metrics, alerts, Service Level Objectives, incident response practices, and root-cause analysis for services in productionWorking knowledge of software application development and technical processes, with depth in one or more areas such as cloud platforms, artificial intelligence, machine learning platforms, distributed systems, or infrastructure engineeringAbility to break down technical requirements into executable engineering tasks, manage dependencies, and deliver against milestones in partnership with product and application teamsStrong written and verbal communication skills, with the ability to explain technical decisions, trade-offs, issues, and risks to engineering teams and stakeholdersPreferred qualifications, capabilities, and skillsExperience supporting AI/ML or generative AI platform capabilities, including model hosting, inference services, model gateways, managed AI services, or developer-facing AI/ML infrastructureProven skills in managing AI infrastructure on cloud platforms including deployment, scaling, monitoring, and optimizing machine learning workloadsExperience building reusable "golden path" assets such as templates, reference implementations, SDKs, automated tests, onboarding guides, and deployment patternsExperience developing generative AI applications/AI agents and/or implementing AI-assisted operations with appropriate guardrails#CTC JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/VeteransOur professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.Full timePosting Date: 2026-08-05

Who we are About StripeStripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.About the teamStripe is beloved by developers for the simplicity of our APIs, the thoroughness of our documentation, and our focus on developer experience. The Technical Solutions Engineering (TSE) team is the glue that supports our developer-users and champions developer experience as being central to the overall experience of our users. TSE interacts directly with developer-users more than any other team at Stripe, so your role will have a significant impact on what Stripe is known for and values most. When we do our job well, developers all over the world are able to smoothly launch and grow their businesses on Stripe, whether they’re integrating payments for the first time or building complex financial systems.What you’ll doTSEs understand the fundamentals of programming incredibly well and eagerly jump in and familiarize themselves with others’ code. You will do a wide variety of things, including explaining technical concepts about Stripe’s products, build and debug integrations with developers, and produce/improve guides that help our users solve particular problems to be successful with Stripe. You will interact with developers of all skill levels through a variety of mediums, enabling them to be successful when using Stripe. Early on, current team members will devote a large amount of time to teaching you and helping you get to a level of comfort and expertise with Stripe, its services, and how we interact with users. Later, we’d love for you to take on this role with others on the team and Stripes broadly, as teaching is a great way to learn and to reinforce what you know.If you’re someone who enjoys working with all kinds of code, is a fast researcher, a strong writer, and enthusiastic about helping others build mission-critical products with Stripe, we want to hear from you!ResponsibilitiesCommunicate with a number of external developers and aid them in building their applications against Stripe’s infrastructure in a number of programming languages (including Java, Python, Ruby, PHP, Go, NodeJS, .NET, ReactJS, React Native, Swift, Objective-C, Kotlin, and Java for Android).Unblock external developers with their thorniest integration challenges through a variety of support channels including email, ticketing software, internal issue trackers, community platforms (like StackOverflow), and real-time chat software (like Slack and Discord)Develop and maintain internal and external documentation, examples, integration demos, and code-snippets that demonstrate usage patterns of the Stripe infrastructure.Identify points of friction developers encounter and collaborate with engineering teams to make Stripe products better. Participate in a number of extended engineering teams’ regular planning sessions, design reviews, and development meetings.Develop and maintain a suite of internal support tooling for TSE and Stripe Support more broadly e.g. a retrieval augmented generation LLM-based Copilot tool or the Invoice Explainer Admin tool.Act as a developer advocate and educational resource internal to the organization by regularly assembling training for non-developers internal to the organization and responding in real-time to product integration questions.Who you areWe're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.This role is remote but requires candidates to be located in the Mountain or Pacific time zones. Minimum requirementsAt least 4 years of full-stack software development experience, with a proven track record of building web or mobile applications that deliver high-quality user experiencesDirect experience explaining technical concepts, and would be comfortable explaining how Stripe works to both technical and non-technical audiencesUnderstands how to write good, clean code in multiple programming languages, as well as how to read code that might not be quite as well writtenAbility to help users during working hours in the region you are in. This may occasionally include providing weekend coverage for monitoring/supporting critical infrastructure, which TSEs are uniquely equipped to assist with given the team’s knowledge around Stripe’s products and active integrations. The team is largely remote, and we are very supportive of working arrangements that allow for family care and other needs to be met.Preferred qualificationsEnjoys writing in a clear and quick mannerGeneral software engineering skills are important to us, as we understand that new languages and frameworks can be learned if you understand the conceptsExperience teaching or coaching developersComfort working with a great deal of autonomy and limited supervisionDegree in Computer Science, Software/Computer Engineering, or a related analytical field of study

About the roleNetApp's Cloud AI team is building an enterprise AI agent platform that helps Fortune 500 companies automate complex workflows on their own data, across on-premises and multi-cloud environments. It brings together large language models, agentic frameworks, and production cloud engineering.We are hiring a Principal Engineer to be the technical anchor for this product. You will own the architecture, set the engineering direction, and build alongside the team. This is a hands-on role: you will design the core systems and write the production code behind them, while working with leadership to turn product vision into engineering plans the team can ship.What you will buildDefine the product architecture: service boundaries, data models, API contracts, runtime design, and the integration patterns that connect AI models to enterprise systems.Design and build the core systems: agent orchestration, knowledge bases and retrieval over enterprise data, tool-calling, multi-cloud execution, and the layers that tie them together.Own the developer-facing surface: the APIs, SDKs, and tooling that customers build on. It has to be fast, reliable, and clear to work with.Lead technical execution across the team: set engineering standards, run design reviews, unblock engineers, and hold the quality bar while the team ships on schedule.Mentor engineers and raise the technical bar of the team.Experience Requirements12+ years in software development.7+ years hands-on with fault-tolerant, highly scalable cloud architectures, including service-oriented and cloud-native services (FaaS, PaaS) on at least one hyperscaler (AWS, Azure, or GCP).Required QualificationsStrong server-side engineering in one or more of Node.js, Python, Java, Go, or Rust. Front-end experience (TypeScript, React or Angular) is a plus.Built RESTful APIs and microservices in production, backed by SQL and/or NoSQL data stores.Designed distributed systems, cloud-native products, or developer infrastructure and scaled them to production.Built and maintained CI/CD for large, interconnected deployment pipelines.Applied cloud security fundamentals: authentication and authorization (OAuth, SSO), encryption, and compliance.Made high-quality technical decisions under ambiguity, trading off performance, maintainability, cost, and time-to-market, and choosing a path the team can execute.Communicate clearly with executives and engineers, in person and in writing. You can align a team around a design and write technical documents that settle decisions.Work effectively across engineering, product, and leadership.Preferred QualificationsDesigned or built AI agent systems or LLM-powered products that run model inference in production: tool calling, RAG, prompt orchestration.Deep familiarity with agentic design patterns: tool-use protocols, context management, multi-step reasoning, and grounding models in live enterprise data.Built developer-facing products, APIs, or SDKs used by external customers at scale.Containerization and orchestration (Docker, Kubernetes) and infrastructure as code (Terraform, CloudFormation).Background in enterprise infrastructure, cloud data services, or storage systems, with a working understanding of how enterprise environments run at scale.Built a new product end-to-end inside a larger company.Prior experience as a principal engineer or technical lead in a high-performance engineering organization.EducationBachelor's degree in Computer Science, Engineering, or related field; or equivalent practical experience. Compensation:The target salary range for this position is 227,800 - 338,800 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU’s), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process.

Secure Every Identity, from AI to HumanIdentity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.The Staff AI Security Engineer OpportunityIdentity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.At Okta, we’re building the future of secure, enterprise-grade AI Agents. We’re looking for a Staff AI Security Engineer to join our dedicated Security team. In this role, you will define the technical vision, architecture, and hands-on security controls for AI models, agentic workflows, and autonomous systems across Okta. This is a senior individual contributor role for a hands-on engineer who can design scalable AI security infrastructure, mentor engineers, and partner with cross-functional teams to build secure "paved roads" for AI innovation.What you’ll be doing Secure AI Implementations: Design and deploy enterprise AI guardrails, gateways, and other controls to protect our agentic workflows from emerging threatsAgent Hardening & Sandboxing: Establish security architectures for local and hosted agents to mitigate tool-calling, prompt injection, goal misalignment, and data exfiltration risks.Define Paved Roads & Security Standards: Develop secure design patterns and developer tools that allow engineering teams to build and deploy AI features safely and quickly.Threat Modeling for AI Workflows: Lead threat modeling and security reviews for agentic AI systems, enterprise deployments, and agent ecosystems.AI Discovery & Visibility: Build systems to discover, inventory, and assess AI usage and data flows across the enterprise.Agentic Platform Infrastructure: Design and operate internal AI security platforms and develop integrated AI capabilities that automate complex security operations.Technical Leadership & Mentorship: Drive technical alignment across product, security, and infrastructure teams. Mentor engineers and security practitioners across domainsWhat you’ll bring to the roleAI Security Expertise: Deep knowledge of the AI threat landscape, including OWASP, MITRE ATLAS, NIST AI RMF with practical experience prompt injection, excessive agency, and other AI-related threats.Software Engineering: 8+ years of experience in security engineering or backend software development, with strong coding proficiency in Python or Go and hands-on cloud experience.Agentic Framework Knowledge: Experience securing or auditing agentic frameworks (such as LangChain, Strands, Claude Agent SDK, or custom tool-calling agents) operating within sandboxed environments.Architectural Expertise: Proven ability to design scalable cloud infrastructure (AWS/GCP), API gateways, proxy architectures, and access controls for enterprise systems.Paved Road Construction: Track record of building developer-first security tools and platform controls that maintain engineering velocity.Technical Leadership: Strong communication skills with a history of driving technical strategy, influencing engineering leaders, and mentoring engineers.Education: Bachelor's degree in Computer Science, Cybersecurity, Information Security, or equivalent practical experience#LI-SM1#LI-HybridP25518_3502406The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $180,000—$247,500 USDBelow is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: . The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:$161,000—$221,000 USDThe Okta ExperienceSupporting Your Well-BeingDriving Social Impact Developing Talent and Fostering Connection + CommunityWe are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation. Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.The Principal, GRC Automation & Cyber Risk Quantification is a senior engineering and strategic leadership role responsible for designing, implementing, and scaling automated, data-driven cyber risk and GRC capabilities across the enterprise. This role blends deep cyber risk management expertise with hands-on software engineering, GRC platform architecture, workflow automation, API development and systems integration, and emerging AI-enabled and Agentic capabilities to modernize how the organization manages risk, compliance, and governance at scale.Reporting to the VP, Cyber Governance, Risk & Compliance, this role serves as a force multiplier for the GRC organization, translating complex regulatory and risk frameworks into automated controls, continuous monitoring workflows, decision-ready dashboards, and audit-ready evidence. The principal is expected to write, review, and own production-quality code and partner closely with ERM, Engineering, IT, Legal, Privacy, Internal Audit, and Digital teams to embed risk intelligence directly into business and technology processes.Key ObjectivesShift GRC from manual, point-in-time assessments to continuous, automated, and risk-informed execution by leveraging purpose-built engineering solutions, Python-based tooling, and Agentic workflows.Enable executive and board-ready cyber risk insights grounded in quantitative and business-relevant data, supported by automated data pipelines and integrations.Standardize and automate control mapping, testing, evidence collection, and risk reporting across frameworks and regulators through scalable API-driven architectures.Act as the technical and architectural authority for ServiceNow IRM and adjacent GRC automation capabilities, including custom-developed integrations and Agentic automation agents.Primary Responsibilities1. GRC Automation & Platform ArchitectureDesign, build, and evolve end-to-end GRC automation across risk, compliance, policy, and issue management domains — including writing and maintaining Python-based automation scripts, services, and tools.Integrate GRC workflows with source systems (cloud platforms, vulnerability tools, IAM, SDLC, third-party systems) via RESTful APIs, webhooks, and event-driven integration patterns to reduce manual effort and improve data quality.Architect and maintain a systems integration layer connecting GRC platforms to enterprise data sources, enabling real-time risk signal ingestion and automated control validation.2. Cyber Risk Quantification & Decision EnablementPartner with Cyber Risk leadership to operationalize quantitative and scenario-based risk analysis (e.g., FAIR-aligned methods).Engineer automated pipelines for ingesting threat, vulnerability, asset, and business context data to support risk-based prioritization, leveraging Python data processing libraries (e.g., pandas, NumPy) integration APIs, and Agentic work flows.Enable financially grounded cyber risk outputs that inform:Risk acceptance and investment decisionsExecutive and board-level reportingProgram prioritization and roadmap planning3. Compliance Automation & Continuous MonitoringTranslate regulatory and framework requirements into automated, testable, and traceable controls, implementing these as code-driven workflows and API-integrated monitoring checks.Implement continuous control monitoring and evidence refresh to support ISO, SOX, SOC, and regulatory audits, using automated evidence collection scripts and scheduled integrations.Reduce audit fatigue by standardizing artifacts, workflows, and control narratives across compliance programs.Partner with Internal Audit and external auditors to improve transparency, timeliness, and defensibility of GRC outputs.4. AI-Enabled GRC & Agentic DevelopmentDesign, build, and deploy Agentic automation solutions — autonomous AI-driven agents capable of reasoning across GRC data, identifying risks, triggering workflows, and recommending actions with minimal human intervention.Identify and pilot AI-assisted capabilities to accelerate GRC outcomes, such as:Control mapping and gap analysisRisk scenario generation and prioritizationPolicy-to-control alignment and impact analysisAgentic issue triage, intelligent remediation recommendations, and autonomous evidence collectionDevelop and integrate LLM-based or agent-framework tooling (e.g., LangChain, AutoGen, or comparable frameworks) into GRC workflows.Ensure all AI-enabled and Agentic GRC use cases align with internal security, privacy, and governance standards.5. API and Systems IntegrationDesign, develop, and maintain RESTful and GraphQL APIs that expose GRC data and capabilities to downstream consumers including dashboards, reporting tools, and integrated enterprise systems.Own the end-to-end systems integration architecture connecting GRC platforms to security tools, cloud environments, HR systems, asset management, and third-party risk platforms.Establish and enforce API governance standards, including versioning, authentication, documentation (OpenAPI/Swagger), and rate management.Build and maintain integration middleware, ETL pipelines, and event-driven connectors to ensure consistent, reliable data flows across GRC systems.6. Stakeholder Partnership & InfluenceServe as a trusted advisor to security, IT, engineering, and business leaders on risk-based automation, control design, and engineering best practices for GRC tooling.Influence teams to embed GRC requirements directly into SDLC, cloud, procurement, and third-party workflows.Translate technical implementations — including architecture diagrams, API designs, and automation logic — into clear, executive-ready narratives for leadership consumption.Knowledge, Skills & AbilitiesKnowledgeDeep understanding of cyber risk management and GRC frameworks (NIST CSF, NIST 800-53/171, ISO 27001, SOC 2, SOX).Strong grasp of enterprise risk management (ERM) concepts and alignment.Working knowledge of quantitative cyber risk analysis (FAIR or similar approaches).Familiarity with audit, regulatory, and certification processes.Understanding of software engineering principles, API design patterns, and systems integration methodologies.Knowledge of Agentic AI frameworks and multi-agent system design principles.SkillsExpertise designing and automating workflows within ServiceNow IRM or comparable GRC platforms.Proficient Python developer — able to write clean, maintainable, production-ready code for automation scripts, data pipelines, API clients, and Agentic workflows.Experienced in API development and integration — designing and consuming REST APIs, managing authentication (OAuth, API keys), and building integration layers.Demonstrated systems integration experience — connecting heterogeneous enterprise systems through APIs, webhooks, message queues, or ETL frameworks.Hands-on experience with Agentic development — building autonomous AI agents using frameworks.Ability to translate abstract frameworks into practical, automated, and scalable implementations.Strong systems thinking, connecting people, process, technology, and data.Excellent written and verbal communication skills, including executive-level storytelling.AbilitiesOperate comfortably at both strategic and hands-on engineering levels.Influence without authority in a highly matrixed environment.Drive change from legacy/manual processes to modern, code-driven automated execution.Independently scope, build, and ship engineering solutions with minimal oversight.QualificationsRequiredBachelor's degree in Cybersecurity, Information Systems, Computer Science, Engineering, Risk Management, or related field.10+ years of experience across cybersecurity, risk management, GRC, or security architecture roles — with at least 3–5 years in a hands-on engineering or software development capacity.Demonstrated Python programming proficiency applied to automation, data processing, tooling, or security use cases.Proven API development and integration experience, including designing, building, and consuming APIs in enterprise environments.Demonstrated systems integration experience, connecting GRC, security, cloud, or enterprise systems at scale.Demonstrated experience automating or scaling GRC, risk, or compliance programs using enterprise platforms.Strong experience partnering with cross-functional technical and business teams.PreferredMaster's degree in a related field.Experience with FAIR or quantitative risk methods.Hands-on experience with Agentic AI development — building and deploying autonomous agents for task automation, decision support, or workflow orchestration.Familiarity with LLM orchestration frameworks (LangChain, LangGraph, AutoGen, CrewAI, or similar).Experience with Python data and automation libraries (pandas, NumPy, FastAPI, Celery, Airflow, etc.).Experience with API gateway tooling, integration platforms (e.g., MuleSoft, Boomi, Workato), or message broker systems (Kafka, RabbitMQ).Hands-on experience with AI, data analytics, or workflow automation applied to GRC use cases.Professional certifications (CISSP, CISM, CRISC, Open FAIR).Why This Role MattersThis role is foundational to advancing the organization's GRC maturity by reducing friction, increasing signal, and enabling leadership to make faster, better-informed risk decisions. It is a highly visible engineering leadership position with direct impact on executive confidence, audit outcomes, and enterprise risk posture. The ideal candidate is equally comfortable writing Python code and building Agentic workflows as they are presenting risk insights to a board of directors — a rare blend of engineering depth and strategic influence that will define the next generation of GRC capability.The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.The annual base pay for this position is: $167,200.00 - $250,800.00F5 maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, geographic locations, and market conditions, as well as to reflect F5’s differing products, industries, and lines of business. The pay range referenced is as of the time of the job posting and is subject to change.You may also be offered incentive compensation, bonus, restricted stock units, and benefits. More details about F5’s benefits can be found at the following link: . F5 reserves the right to change or terminate any benefit plan without notice. Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or@myworkday.com).Equal Employment OpportunityIt is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting accommodations@f5.com.SummaryLocation: Seattle; San JoseType: Full time

Company DescriptionLinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.Join us to transform the way the world works.Job DescriptionThis role can be based in Bellevue, WA.At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.This role is part of the Development infrastructure (DI) organization where you will get an opportunity to influence, transform, and create the next generation, agent centric, large scale, development infrastructure at LinkedIn. We are a data driven organization and you will lead strategic investments to make step function improvements in the lives of LinkedIn developers. This spans multiple areas including but not limited to: Providing tools and infrastructure that creates delightful development experiences for thousands of developers; Provide the environments where agents write, build, test, and publish code; Provide actionable insights that leverages data and metrics; and most importantly, deliver reliable and scalable infrastructure. You will have the opportunity to engage the industry-wide developer community and contribute to open-source software as well.ResponsibilitiesYou will build and ship software at scale that delivers impact.You will improve all aspects of developer experience with a data driven mindset.You will design and build tools and frameworks to automate development, testing, deployment, management, monitoring, data gathering and analysis of our 24x7 services and products.You will develop and evangelize solutions to challenges faced by every product and infrastructure team at LinkedIn to improve developer happiness, productivity, and efficiency.You will scale the infrastructure and tools required to keep our 6000+ developers in step when they are all sharing the same code, building and testing our software stacks, and releasing and deploying their services continuously without compromising site reliability.You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute critical, large-scale, cross-functional, and company-wide programs.QualificationsBasic QualificationsBA/BS Degree in Computer Science or related technical discipline, or related practical experience.4+ years experience in software design, development, and algorithm related solutions.4+ years programming experience in object-oriented programming languages such as Python, Java, Javascript, C/C++, C#, Objective-C.Preferred QualificationsBS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experienceExperience designing and building infrastructure and web services at large scale.Knowledge of Internet protocols and network programming.Experience working in a Unix environment (Linux preferred).Experience in large-scale distributed systems and client-server architectures.Experience in driving automated cloud management systems at scale.Experience in containerization, cluster schedulers, infrastructure configuration and orchestration.Experience in standard build tools (e.g. gradle, bazel) and version control systems (e.g. git).Experience in Python development using frameworks like Django, Flask, Jinja, SQLAlchemy.Knowledge and experience in Tomcat, Jetty, Netty, Apache/ATS, Scala/sbt, or Node.js.Experience in working with SQL/NoSQL databases (e.g. MySQL, Dynamo, Cassandra, MongoDB)Experience in messaging & big data systems/solutions (e.g. Spark, Presto, Alation, Hadoop, Kafka)Suggested SkillsObject-oriented programmingWeb servicesInfrastructureYou will Benefit from our Culture:We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.LinkedIn is committed to fair and equitable compensation practices.The pay range for this role is $170,000 - $277,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: https://careers.linkedin.com/benefits.Additional InformationEqual Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:Documents in alternate formats or read aloud to youHaving interviews in an accessible locationBeing accompanied by a service dogHaving a sign language interpreter present for the interviewA request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.SummaryType: Full-timeFunction: EngineeringExperience level: Mid-Senior LevelIndustry: Internet

Join Axon and be a Force for Good.At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.Your ImpactAs a Senior Site Reliability Engineer within the APX SRE organization, you’ll focus on delivering practical, scalable solutions to support the reliability and performance of our mission-critical, cloud-native global Kubernetes platform and the services that run on it. You care deeply about system stability, clear documentation, and creating tools that improve the developer experience. Location: This role is based out of our Seattle office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.What You’ll DoAs an SRE, you’ll play a critical role in building the infrastructure and tools that power reliable, scalable, and secure engineering operations across the company. You will:Build robust, easy-to-use kubernetes platforms and tools that enable engineering teams to provision and operate services rapidly, consistently, and securely.Exemplify cloud-native site reliability best practices.Write code that is performant, maintainable, clear, and concise.Employ strong problem-solving skills, with the ability to debug problems in cloud-native distributed systems.Employ technical project management skills, with the ability to properly scope, plan, and define work to meet deadlines.Influence and educate the engineering organization to adopt new and improved architectural patterns.Provide robust documentation for use by engineers to promote self-service.Continually seek improvement within the entire platform org for improved reliability, operability, and cost efficiencyTake calculated risks, champion new ideas, and cultivate your craft.What You Bring5+ years of applicable experience in Platform engineering, and container orchestrationExperience building platforms on either Azure or AWS (preferably both)Building, operating, and innovating clustering solutions for Kubernetes platforms like AKS, EKS, or similar in production at scaleExperience with programming languages such as Python, Go, C#, Java, and others.Building, operating, and managing infrastructure and systems that are highly revenue, security, and/or health and life-safety critical.Experience utilizing CI/CD platforms to automate provisioning infrastructure, software builds, tests, and releases.Experience using observability tools such as APM, logging, and metrics to assist with debugging issues.Experience using Infrastructure as Code tools for provisioning flexible and testible modules such as Terraform, Pulumi, or similar.Experience designing tooling to simplify the operational management of SaaS/PaaS systems.Empathy to support the needs of software engineers.Benefits that Benefit YouCompetitive salary and 401k with employer matchDiscretionary time offPaid parental leave for allMedical, Dental, Vision plansFitness ProgramsEmotional & Development ProgramsAnd yes, we have snacks in our officesBenefits listed herein may vary depending on the nature of your employment and the location where you work.Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit .Base Pay Range$134,250—$214,800 USDDon’t meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.Important NotesThe above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.Some roles may also require legal eligibility to work in a firearms environment.We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice.Axon’s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.Phishing alert: Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process. All legitimate job openings are listed on our official careers page at . If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.

Immigration / Work Authorization Notice:Applicants must be currently authorized to work in the United States. iSpot is not able to sponsor or take over sponsorship of an employment visa for this position at this time.iSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle’s hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great.What You’ll Be Part Of:iSpot.tv is changing how brands, agencies, and networks measure and assess the impact of TV advertising. We deal with BIG data, operating mainly in AWS with multiple Kubernetes clusters and thousands of servers. We are looking for an experienced SRE leader with the skills and passion to make a significant impact on our ecosystem. You will have a wide array of projects to tackle, with ample opportunities for growth.You will be a key member of our SRE leadership team, focused on empowering developers to build, test, and deploy applications faster and more efficiently. You will both lead the team and remain hands-on in designing, building, and maintaining the tools, platforms, and processes that improve our engineering teams' productivity and streamline the software development lifecycle. Your work will directly impact developer happiness and the speed at which we can deliver innovative features to our customers.Responsibilities:We are seeking a seasoned and strategic Lead/Principal Site Reliability Engineer to drive the reliability, scalability, and performance of our core production systems while significantly enhancing the internal developer experience. This role sits at the intersection of operations and development, requiring deep technical expertise, strong leadership, and a passion for optimizing the entire software development lifecycle (SDLC).Our team consists of senior engineers who work together with minimal supervision to attain those goals. Candidates must possess deep operational experience with AWS and Kubernetes to support teams utilizing these systems. You will lead the technical direction of the team while remaining a key individual contributor. You will be responsible for creating a culture of engineering excellence, designing self-service platforms, and fostering alignment across all engineering teams to accelerate product delivery and maintain world-class service stability.The key responsibilities are:System Reliability and Operations (SRE Focus)Platform Design and Management: Architect, build, and maintain scalable, highly available, and reliable cloud infrastructure in AWS leveraging modern container orchestration technologies.Data Pipeline Reliability: Serve as the reliability and cost optimization expert for high-volume, data-intensive workloads. Focus on optimizing and ensuring the stability of distributed data processing engines, specifically Apache Spark and related ecosystems (e.g., EMR, Databricks, Glue).Observability and Monitoring: Establish comprehensive observability practices by defining SLIs/SLOs, implementing advanced monitoring, alerting, and logging solutions to quickly identify and resolve system anomalies.Automation: Drive automation across all operational aspects, including infrastructure provisioning (Terraform), scaling, deployment, and incident response, minimizing toil and manual effort.Incident Management: Lead and participate in the incident response lifecycle, performing thorough post-mortems to derive actionable insights and implement preventative measures to improve system resilience.AIOps: Define and champion the strategic roadmap for AI/ML integration within SRE, establishing organizational best practices for AIOps, automated incident remediation, Toil Reduction via LLMs, and Automated Root Cause Analysis (RCA)and the governance of LLM-driven tooling to enhance system observability and resilience.Developer Experience and Productivity (DevEx Focus)Platform Strategy: Design, implement, and champion self-service tools, internal developer portals, and services that empower engineering teams to manage their infrastructure and deployments independently and efficiently.AI Developer Tools: Lead the standardization of AI developer assistants by architecting and maintaining global 'steering files' and context-configuration standards, ensuring AI-generated code aligns with our specific patterns, security protocols, and architectural guardrails.CI/CD Optimization: Own and continuously improve the CI/CD pipelines, reducing build times, streamlining deployment workflows, and integrating best practices for testing, security (Shift Left), and code quality. Maintain and improve our container orchestration and deployment tools, leveraging Kubernetes, Helm, and ArgoCD to create seamless developer workflows.KPIs: Develop, implement, and maintain a set of key performance indicators (KPIs) to measure and improve the developer experience across all of Engineering.Mentorship and Documentation: Guide and mentor senior engineers, promoting SRE/DevEx principles. Develop clear, comprehensive documentation and tutorials to ensure seamless adoption of new tools and platforms.Cost and Efficiency: Strategically identify and implement opportunities for cloud cost optimization and resource efficiency without compromising reliability or performance.III. Strategic Leadership and Cross-Team AlignmentArchitecting the Roadmap: Define, champion, and communicate the long-term technical roadmap for the SRE and DevEx platforms, balancing immediate operational needs with strategic, future-state goals.Driving Cross-Team Alignment: Act as a critical liaison between infrastructure, security, and product development teams. Proactively drive cross-team alignment on architectural standards, tooling choices, and development workflows to ensure consistency and shared accountability for system health.Bottleneck Identification and Mitigation: Systematically identify engineering bottlenecks, friction points, and points of organizational toil within the SDLC. Implement targeted solutions—whether technical, process-based, or organizational—to mitigate these constraints and enhance overall engineering velocity.Planning and Execution: Collaborate with engineering leadership to transform the strategic roadmap into actionable, prioritized plans, securing cross-functional buy-in and resources for successful execution. Qualifications and Education Requirements:Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.10+ years of relevant experience in software engineering, cloud architecture, and/or Site Reliability Engineering, with at least 3 years in a leadership or lead contributor role.Deep expertise of AWS, including EKS, ECR, RDS, SQS/SNS, VPC, MWAA and S3.Strong proficiency in Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation).Specialized experience in optimizing large-scale data platforms, specifically with Apache Spark. Proven ability to profile, troubleshoot, and tune Spark jobs for performance, cost, and reliability.5+ years of experience with Kubernetes and containerization in general, including associated tools (kubectl, Helm, ArgoCD).Strong knowledge of AWS cost optimization.TCP/IP networking, including routing and AWS security groups.Excellent knowledge of CI/CD concepts and experience developing associated pipelines in CircleCI.Proficient in high-level scripting languages, including shell scripting, Python, and/or JavaScript.Experience with OTel and monitoring tools such as Splunk or DataDog. Experience with native AI observability tools is a plus.Experience with evaluating and rolling out GenAI tools for improving developer efficiency.Excellent communication, collaboration, and stakeholder management skills, with proven experience driving technical initiatives across multiple teams.Experience with researching and selecting new/modern developer toolsets and assisting teams in adopting them including vendor assessments, security assessments and procurement process.Experience in Ad-Tech or “BIG Data” processing organization is highly preferredTarget cash compensation range: $163,620 - $212,710 USD AnnuallyWe are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot’s equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.For more information on total rewards package, goHEREHybrid & Flexible Workplace PolicyiSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency. Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.#LI-HybridIf you don't feel you met every single requirement for the role, don't rule yourself out. Please apply anyway!iSpot is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please contact our HR team.California Residents applying for positions at iSpot can access our California Consumer Privacy Act here.

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.ABOUT THE TEAMThe Lattice SDK team is at the forefront of building Anduril’s developer ecosystem. Since our public launch, we’ve attracted numerous potential partners ranging from innovative startups to defense giants and military organizations worldwide. Our team serves as the critical bridge between Anduril’s cutting-edge defense technology and the broader developer community. We’re creating a thriving ecosystem where partners can seamlessly integrate their applications, hardware, and data services with Lattice, demonstrating the platform’s exceptional interoperability while expanding its capabilities. By fostering these partnerships, we’re not just building software—we’re revolutionizing how defense technology collaborates across platforms to deliver real impact in the field.ABOUT THE JOBWe are looking for a Senior Software Engineer to join our rapidly growing team in Seattle, WA. In this role, you will work on our developer portal and generated SDKs to enable our partners to write complex technical integrations for the Lattice platform. This position requires deep technical expertise in API design, cloud architecture, and hands-on development experience. If you thrive on solving complex technical challenges, enjoy creating great developer ecosystems, and are passionate about creating mission-critical solutions at scale, then this role is for you.WHAT YOU’LL DOWork on our developer portal to enhance partner engagement and streamline the integration processDevelop infrastructure to simplify the exposure of APIs and SDKs for external developers.Build and maintain sample applications, SDKs, and technical frameworks that enable partners to implement sophisticated solutions.Provide technical leadership during partner onboarding, guiding their engineering teams through complex integration scenarios.Create proof-of-concept applications and reference architectures that demonstrate advanced Lattice capabilities and integration patterns.Collaborate with engineering teams to influence the platform roadmap based on real-world implementation challenges.Conduct technical reviews of partner architectures and provide recommendations for optimization and scalability.Troubleshoot complex integration issues and provide hands-on technical support for mission-critical deployments.Evangelize best practices for building resilient, secure, and performant applications on the Lattice platform.REQUIRED QUALIFICATIONS8+ years of experience as a Senior Software Engineer with customer-facing responsibilities.Strong programming experience in multiple languages (Python, Java, Go, C++, or similar) with demonstrated ability to build production-grade applications.Deep expertise in distributed systems architecture, including microservices, event-driven architectures, and API gateway patterns.Experience with CI/CD pipelines, infrastructure as code, and DevOps practices.Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).Proven track record of designing and implementing complex system integrations in enterprise environments.Experience with API technologies including REST, gRPC, GraphQL, and real-time communication protocols (WebSockets, message queues).Strong understanding of security patterns, authentication/authorization frameworks, and data protection in distributed systems.Excellent technical communication skills with the ability to present complex architectural concepts to both technical and non-technical stakeholders.Must be a U.S. Person due to required access to U.S. export-controlled information or facilities.PREFERRED QUALIFICATIONSExperience architecting solutions for defense, aerospace, or other mission-critical industries.Background in edge computing, IoT architectures, or real-time data processing systems.Knowledge of air-gapped environments, offline-first architectures, and high-availability system design.Open source contributions to architectural frameworks or developer tools.Experience mentoring engineering teams and leading technical design reviews.Advanced degree in Computer Science, Engineering, or related technical field.US Salary Range$191,000—$253,000 USDThe salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: BenefitsAt Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.Protecting Yourself from Recruitment ScamsAnduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.Please always verify communications:Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.Data PrivacyTo view Anduril's candidate data privacy policy, please visit . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.

Design, develop, test, deploy, and maintain backend services using Python and serverless architectures (AWS Lambda or equivalent).

Junior Software Developer - Observability. We are hiring a Junior developer with a proven track record in Python and/or Go. You are a skilled Python developer, preferably with a track record in open source.

A software solutions company is seeking an experienced Python Developer to join their remote team. The ideal candidate has over 8 years of Python experience, familiarity with serverless architectures like AWS Lambda, and excellent debugging skills.

A technology consulting firm in Seattle is seeking a full-time Python Developer with at least 2 years of lead experience. The ideal candidate should possess strong programming skills in Python and PowerShell, and experience with Azure services is essential.

Python Developer (bit of QA debugging exp) – Full-time, No OPT. Strong programming skills in Python and PowerShell.

A global tech firm is seeking a Junior Software Developer to join their Observability team.

Job Description Immigration / Work Authorization Notice: At this time, iSpot does not provide visa sponsorship or immigration support for this role. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship. iSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle's hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great. What You'll Be Part Of: iSpot.tv is changing how brands, agencies, and networks measure and assess the impact of TV advertising. We deal with BIG data, operating mainly in AWS with multiple Kubernetes clusters and thousands of servers. We are looking for an experienced SRE leader with the skills and passion to make a significant impact on our ecosystem. You will have a wide array of projects to tackle, with ample opportunities for growth. You will be a key member of our SRE leadership team, focused on empowering developers to build, test, and deploy applications faster and more efficiently. You will both lead the team and remain hands-on in designing, building, and maintaining the tools, platforms, and processes that improve our engineering teams' productivity and streamline the software development lifecycle. Your work will directly impact developer happiness and the speed at which we can deliver innovative features to our customers. Responsibilities: We are seeking a seasoned and strategic Lead/Principal Site Reliability Engineer to drive the reliability, scalability, and performance of our core production systems while significantly enhancing the internal developer experience. This role sits at the intersection of operations and development, requiring deep technical expertise, strong leadership, and a passion for optimizing the entire software development lifecycle (SDLC). Our team consists of senior engineers who work together with minimal supervision to attain those goals. Candidates must possess deep operational experience with AWS and Kubernetes to support teams utilizing these systems. You will lead the technical direction of the team while remaining a key individual contributor. You will be responsible for creating a culture of engineering excellence, designing self-service platforms, and fostering alignment across all engineering teams to accelerate product delivery and maintain world-class service stability.The key responsibilities are: • System Reliability and Operations (SRE Focus), • Platform Design and Management: Architect, build, and maintain scalable, highly available, and reliable cloud infrastructure in AWS leveraging modern container orchestration technologies., • Data Pipeline Reliability: Serve as the reliability and cost optimization expert for high-volume, data-intensive workloads. Focus on optimizing and ensuring the stability of distributed data processing engines, specifically Apache Spark and related ecosystems (e.g., EMR, Databricks, Glue)., • Observability and Monitoring: Establish comprehensive observability practices by defining SLIs/SLOs, implementing advanced monitoring, alerting, and logging solutions to quickly identify and resolve system anomalies., • Automation: Drive automation across all operational aspects, including infrastructure provisioning (Terraform), scaling, deployment, and incident response, minimizing toil and manual effort., • Incident Management: Lead and participate in the incident response lifecycle, performing thorough post-mortems to derive actionable insights and implement preventative measures to improve system resilience., • AIOps: Define and champion the strategic roadmap for AI/ML integration within SRE, establishing organizational best practices for AIOps, automated incident remediation, Toil Reduction via LLMs, and Automated Root Cause Analysis (RCA) and the governance of LLM-driven tooling to enhance system observability and resilience., • Developer Experience and Productivity (DevEx Focus), • Platform Strategy: Design, implement, and champion self-service tools, internal developer portals, and services that empower engineering teams to manage their infrastructure and deployments independently and efficiently., • AI Developer Tools: Lead the standardization of AI developer assistants by architecting and maintaining global 'steering files' and context-configuration standards, ensuring AI-generated code aligns with our specific patterns, security protocols, and architectural guardrails., • CI/CD Optimization: Own and continuously improve the CI/CD pipelines, reducing build times, streamlining deployment workflows, and integrating best practices for testing, security (Shift Left), and code quality. Maintain and improve our container orchestration and deployment tools, leveraging Kubernetes, Helm, and ArgoCD to create seamless developer workflows., • KPIs: Develop, implement, and maintain a set of key performance indicators (KPIs) to measure and improve the developer experience across all of Engineering., • Mentorship and Documentation: Guide and mentor senior engineers, promoting SRE/DevEx principles. Develop clear, comprehensive documentation and tutorials to ensure seamless adoption of new tools and platforms., • Cost and Efficiency: Strategically identify and implement opportunities for cloud cost optimization and resource efficiency without compromising reliability or performance. III. Strategic Leadership and Cross-Team Alignment • Architecting the Roadmap: Define, champion, and communicate the long-term technical roadmap for the SRE and DevEx platforms, balancing immediate operational needs with strategic, future-state goals., • Driving Cross-Team Alignment: Act as a critical liaison between infrastructure, security, and product development teams. Proactively drive cross-team alignment on architectural standards, tooling choices, and development workflows to ensure consistency and shared accountability for system health., • Bottleneck Identification and Mitigation: Systematically identify engineering bottlenecks, friction points, and points of organizational toil within the SDLC. Implement targeted solutions—whether technical, process-based, or organizational—to mitigate these constraints and enhance overall engineering velocity., • Planning and Execution: Collaborate with engineering leadership to transform the strategic roadmap into actionable, prioritized plans, securing cross-functional buy-in and resources for successful execution. Qualifications and Education Requirements: • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience., • 10+ years of relevant experience in software engineering, cloud architecture, and/or Site Reliability Engineering, with at least 3 years in a leadership or lead contributor role., • Deep expertise of AWS, including EKS, ECR, RDS, SQS/SNS, VPC, MWAA and S3., • Strong proficiency in Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation)., • Specialized experience in optimizing large-scale data platforms, specifically with Apache Spark. Proven ability to profile, troubleshoot, and tune Spark jobs for performance, cost, and reliability., • 5+ years of experience with Kubernetes and containerization in general, including associated tools (kubectl, Helm, ArgoCD)., • Strong knowledge of AWS cost optimization., • TCP/IP networking, including routing and AWS security groups., • Excellent knowledge of CI/CD concepts and experience developing associated pipelines in CircleCI., • Proficient in high-level scripting languages, including shell scripting, Python, and/or JavaScript., • Experience with OTel and monitoring tools such as Splunk or DataDog. Experience with native AI observability tools is a plus., • Experience with evaluating and rolling out GenAI tools for improving developer efficiency., • Excellent communication, collaboration, and stakeholder management skills, with proven experience driving technical initiatives across multiple teams., • Experience with researching and selecting new/modern developer toolsets and assisting teams in adopting them including vendor assessments, security assessments and procurement process., • Experience in Ad-Tech or "BIG Data" processing organization is highly preferred Target cash compensation range: $163,620 - $212,710 USD Annually We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot's equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. For more information on total rewards package, go HERE Hybrid & Flexible Workplace Policy iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency. Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further. #LI-Hybrid If you don't feel you met every single requirement for the role, don't rule yourself out. Please apply anyway! iSpot is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please contact our HR team. California Residents applying for positions at iSpot can access our California Consumer Privacy Act here.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.What You'll Do: A lab signs with CoreWeave. They have thousands of GPUs waiting. Their first month? Spent on cluster setup instead of research. Building deployment scripts, fighting container images, wiring up job orchestration. They came to train models. Instead, they're doing operations. This is the problem. We're building the Applied Training team to fix it. You'll be an early member of a small team, responsible for our Kubernetes-native research cluster platform, or the sandbox client for agentic training and evaluation, or possibly a new project altogether. The goal is specific: give every CoreWeave customer the research infrastructure that currently only exists inside frontier labs. In this role, you will: • Contribute to the roadmap for Applied Training — figure out what actually unlocks new workloads and what's just nice to have, • Work directly and closely with customers, and other teams inside CoreWeave that are building cloud native primitives: compute, storage, networking, etc., • For the research cluster platform: design and build a complete research cluster experience — CLI, job configuration schema, Kubernetes operators, daemons — solving the problems researchers actually hit: code distribution, checkpoint-triggered evaluation, cross-cluster scheduling, programmatic job control, • For sandbox infrastructure: own the Python SDK and work in a tight loop with the backend team, enabling RL training runs to spawn thousands of isolated containers for agent rollouts and agent benchmarks at scale, • Write documentation for running popular OSS training frameworks on CoreWeave to unblock customers and help them succeed, • Work with infrastructure teams and customers directly — the customers are large AI labs running thousands of GPUs; understand how they structure their internal supercomputing stacks and bring that knowledge back to what we buildWho You Are:, • 8–12+ years building distributed systems, ML infrastructure, or developer platforms, • Real Kubernetes experience: custom controllers, operators, scheduling, CRDs, workload orchestration at scale — not just deploying things to Kubernetes or cluster administration, • You understand what makes researchers productive: code distribution matters, fast iteration cycles matter, workflows that don't require becoming infrastructure experts matter, • Familiarity with training: how distributed jobs get scheduled, how ranks initialize, what breaks at scale, • You've shipped infrastructure that other people rely on daily — not prototypes, production systems, • Strong communicator who can work with customers and translate researcher complaints into system designsPreferred:, • Experience building internal ML platforms or research clusters at a company doing large-scale training, • Familiarity with agentic AI: RL training with rollouts, agent evaluation, sandbox isolation for running untrusted code, • Background with Slurm, Ray, or similar workload orchestration, and opinions on where they fall short, • Experience with container runtimes, isolation (gVisor, Kata), or serverless platforms, • OSS contributions to Kubernetes SIGs, Ray, PyTorch, or similar Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $182,000 - $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionDescription:Senior Software Engineer (Search & Personalization) Location: Seattle, WA Type: Full-Time | Engineering ABOUT BUYWANDER BuyWander is rebuilding the $850B retail returns industry. We take chaotic truckloads of returned goods and transform them into a fast, fun, treasure-hunt shopping experience powered by AI, real-time auctions, and local pickup. We’re not just building a marketplace. We’re building a daily habit. THE ROLE We are looking for a highly product-minded Senior Software Engineer to own our Search and Personalization experience. With the rapid advancement of AI coding agents (like Claude Code and Cursor), the way we build across the stack has completely changed. We aren't hiring you to spend your days writing boilerplate UI components. We are hiring you for your architectural brain and product sense. Your mandate is to build the discovery engine that keeps our users addicted to the "treasure hunt." You will partner with our Data & AI team to take raw recommendation models and turn them into lightning-fast, highly personalized consumer experiences. WHAT YOU’LL OWN 1. The Discovery & Personalization Engine • Design and implement the architecture for our "For You" feeds., • Blend rules-based logic with ML-driven recommendations to ensure the right weird, unique, or high-value item hits the exact right bidder at the right time. 1. Search Optimization • Own our core search infrastructure (Elastic Cloud / Pinecone)., • Implement hybrid search (keyword + vector), tune ranking weights, and build typo-tolerance and synonym matching so our buyers always find what they are looking for. 1. Measuring Success & Experimentation • You don't just ship features; you measure them. You will design the A/B testing framework for our search ranking changes., • Track click-through rates (CTR), bid velocity, and conversion metrics to definitively prove your search tweaks are making the company money. 1. AI-Assisted Product Development • Use modern AI coding tools to rapidly wire your backend search APIs into our Vue/Nuxt frontend., • Focus your deep thinking on system design, database queries, and user flows, while leveraging AI agents to accelerate UI execution.WHY THIS ROLE IS DIFFERENT At most companies, you are handed a Jira ticket and told exactly what to build. Here, you are handed a business problem: "Our bidders are having trouble finding niche electronics in our chaotic inventory—fix it." You will have the autonomy to design the search logic, test the algorithms, and ship the product experience that solves that problem. If you love building systems that directly drive user addiction and marketplace revenue, let's talk. Benefits • Competitive Salary and Performance-based Bonuses, • Meaningful equity in a company attacking a massive market, for a brand that can become nationally recognized, • Health, Vision & Dental Insurance, • Unlimited PTO, • Annual Company Offsites, • 401KRequirements: WHAT YOU BRING • The Tech Stack: Deep backend proficiency (we use C#/Python/FastAPI) and a solid understanding of modern frontend frameworks (we use Vue/Nuxt/Vercel)., • Search Expertise: Proven experience tuning search engines (Elasticsearch, Algolia, or OpenSearch) and familiarity with modern Vector databases (Pinecone)., • Product Sense: You think in terms of user psychology and metrics. You understand concepts like collaborative filtering, session-based recommendations, and ranking algorithms., • The Modern Workflow: You are highly proficient in using AI developer tools (Copilot, Cursor, Claude) to multiply your output. BuyWander is an Equal Opportunity Employer. We make employment decisions based on qualifications, skills, merit, and business needs. We believe a range of skills, perspectives, and experiences strengthens our team and supports better outcomes for our employees and customers.

Job Description At Belva, we are seeking a talented and experienced Software Engineer II to join our team. We’re a trailblazing A.I. Telecommunications company, searching for an individual who can take code ownership and help lead the charge in AI / ML solutions that make an impact in the lives of millions. Role and Responsibilities: We are seeking a Software Engineer II to join our backend python team at Belva. As a Software Engineer II, you will work closely with our ML and Data Engineers to turn Machine Learning models and data pipelines into robust software applications. You will play a central role in designing and developing how our products use ML technologies such as transformers, vector databases, etc. The ideal candidate should have at least 3 years of experience as a backend Python developer in production environments. You must have a solid understanding of how Python deployments are managed, understand virtual environments and have extensive experience with continuous integration and continuous deployment (CI/CD) best practices. You will be working as a part of a highly experienced and fast moving team of passionate product builders. Duties / Responsibilities: Collaborate with our ML and Product teams to integrate Machine Learning models and data pipelines into software applications. Design, develop, and maintain scalable backend systems that leverage ML technologies such as transformers, vector databases, and other relevant tools. Work closely with cross-functional teams to define requirements, architect solutions, and implement features that enhance the performance and functionality of our ML-driven products. Take ownership of development for backend components, ensuring code quality, performance, and maintainability. Mentor and provide technical guidance to junior developers, fostering a culture of knowledge sharing and continuous learning. Participate in code reviews, providing valuable feedback to ensure adherence to coding standards and best practices. Collaborate with DevOps to optimize infrastructure and ensure smooth deployment and monitoring of backend services. Troubleshoot and resolve backend-related issues, addressing performance bottlenecks, bugs, and other challenges as they arise. Contribute to the growth and mentorship of junior developers and potentially lead project teams. Required Skills/Abilities: Bachelor's degree in Computer Science, Software Engineering, or a related technical field. Minimum of 3 years of professional experience as a backend Python Developer in production environments. Solid understanding of Python deployment best practices, including dependency management, virtual environments, containerization, etc. Strong experience in designing and developing backend systems, API design, and microservice architectures. Familiarity with AWS services like EC2 and S3 and the ability to architect scalable Python solutions on the AWS platform is a plus. Solid knowledge of continuous integration and continuous deployment (CI/CD) practices and the ability to set up and manage automated deployment pipelines. Proven track record of delivering high-quality, production-grade software solutions in a fast moving team environment. Work with other teams (i.e., Product, PM, etc.) to ensure delivered code meets specifications based on functional/technical specifications. Create unit and integration tests to fully test and regress software. Break down complex requirements into independent coding tasks and strategies. Qualifications and Experience: Must be a Citizen or Green Card Holder and live in the United States B.S in Computer Science or equivalent experience 3+ years of professional experience as a backend Python Developer. Excellent problem-solving skills and the ability to tackle complex challenges. Prior experience in leadership or mentorship roles is a plus. Strong verbal and written communication skills. Openness to new ideas and an unceasing desire to learn new things. Preferred Qualifications: Previous experience working with ML teams or on ML-driven projects is a plus but not required. Experience with database systems such as PostgreSQL and MongoDB. Experience with orchestration tools such as Kubernetes is desirable. Experience with Atlassian tools: JIRA, Confluence, etc. Familiarity with AWS services like EC2 and S3 and the ability to architect scalable Python solutions. Why Join Us: Industry Leadership: Become a key player in a pioneering A.I. Telecommunications company that is an upcoming industry leader. Meaningful Impact: Contribute to the creation of accessible and flexible A.I. Telecommunications solutions that empower customers and businesses. Professional Growth: Embrace challenging projects that expand your skill set, foster continuous learning, and elevate your career trajectory. We eagerly anticipate the chance to discuss how your expertise can contribute to our team's success and make a lasting difference. Your consideration is highly valued, and we look forward to the possibility of working together. Job Type: Full-time Company Description AI telecommunications AI telecommunications

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.What You'll Do As a Senior Software Engineer on the Identity & Access Management (IAM) team, you will play a key role in designing, building, scaling, and maintaining CoreWeave's rapidly expanding IAM platform. You will leverage your experience in distributed systems to design, extend, and harden a platform that secures our high-performance cloud infrastructure. You'll be working at the intersection of design, developer experience, and platform architecture to help scale our services to the next order of magnitude. Here are just a few of the interesting and exciting things you'll be doing: • Architect and build high-scale, low-latency distributed systems that power CoreWeave's identity, authentication and authorization services, • Design and implement customer-facing and internal APIs and backend services that underpin our IAM platform, • Optimize system performance to ensure that services remain highly available and performant under unpredictable load patterns, • Collaborate cross-functionally with stakeholders across the business, including product managers, designers and TPMs, to shape the team's strategy and roadmap, • Drive operational excellence by participating in on-call rotations and building automated tooling for monitoring, alerting, and incident response, • Demonstrate and shape best-practices in software engineering by embracing AI for development, insisting on maintainable and testable code, and participating in thorough code reviews, • Work with incredible people in a supportive, iterative, high-trust, agile environmentWho You Are, • Experience: Minimum of 5 years of professional experience developing, operating and maintaining backend services in a production environment, • Programming: Strong proficiency developing software in one or more of our preferred languages (Go, TypeScript, Python), • Distributed systems: Knowledge of microservices architecture, RESTful/gRPC API design, and asynchronous messaging patterns, • Observability: Fluency with best practices in observability (logging, metrics, dashboards, alerting), • Database design: Solid understanding of relational databases, schema design, and SQL, • Testing and quality: Strong commitment to automated testing (unit, integration, and E2E) and CI/CD pipelines, • Ownership: Demonstrated ownership of code quality, performance, and maintainability from development through production, • Security: Experience with authentication, authorization and security best practices, • Problem solving: A proven track record of debugging complex performance bottlenecks and distributed system failures in a production environment, • Communication: Excellent verbal and written communication skills, able to work effectively with both technical and non-technical team membersPreferred, • Experience with Kubernetes and a conceptual understanding of its major components., • Experience building reliable and scalable platform services that process large amounts of data., • Experience developing identity products on top of standards including OIDC, OAuth2.0, SAML, and JWT, • Experience managing cloud infrastructure (AWS, GCP, etc.), • Familiarity with Infrastructure-as-Code tools and practices Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. • You love to solve complex problems and build high-scale, low-latency distributed systems., • You're curious about how to evolve cloud platforms and scale infrastructure globally for the next generation of AI workloads., • You're an expert in one or more preferred programming languages like Go, TypeScript, or Python, and have deep technical knowledge of distributed systems.Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.