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hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Join us as we build products that solve real-world problems and put customers at the center of everything we do. You'll be part of a team that values collaboration, curiosity, and commitment, helping you realize your potential in an environment that nurtures skills and growth. We're people-first, and your leadership will be key to our success. At JPMorgan Chase, you'll have the opportunity to impact your career and help shape the future of our platform. Discover a place where your ideas matter and your growth is supported. \n Job Summary: \n As an Engineering Manager (Platform) in the Accelerator Business Platform Team, you will lead a high-performing squad focused on delivering scalable solutions that bring smart ideas to our customers. You will bridge the gap between technical strategy and business goals, cultivate engineering talent, and foster a culture of diversity, equity, inclusion, and respect. You will be responsible for the growth, health, and delivery of your engineering team, ensuring products are built to scale and aligned with our mission. Your role will empower you to drive innovation and help shape the team's impact. \n Job Responsibilities: \n\n • Provide direction, oversight, and coaching for a team of software engineers, fostering an inclusive, high-performance culture.\n, • Oversee end-to-end delivery of platform initiatives, translating requirements into technical roadmaps and ensuring operational stability.\n, • Drive engineering standards and best practices, promoting high-quality code, robust release processes, and scalable infrastructure.\n, • Partner with senior leadership to set the long-term technical vision for the platform, aligning with business outcomes and regulatory requirements.\n, • Champion a "you-build-it-you-run-it" culture, overseeing incident response and identifying opportunities to automate remediation.\n, • Ensure successful collaboration across teams and stakeholders, driving consensus on architectural and delivery trade-offs.\n, • Identify and mitigate issues to execute a book of work, contributing to communities of practice and adoption of leading-edge technologies.\n, • Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations (e.g., throughput, defect reduction, reliability) and ensures consistent validation, security, resiliency, and reuse of proven patterns.\n, • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets. \n \n\n Required Qualifications, Capabilities, and Skills: \n\n • Formal training or certification in software engineering concepts.\n, • Experience leading technologists to manage and solve complex technical challenges.\n, • Proven people-management or team-lead experience, with a track record of coaching engineers and driving team performance.\n, • Strong background in software engineering, including system design, cloud native systems, and Kubernetes.\n, • Ability to guide technical decisions and evaluate designs.\n, • Experience managing complex technical delivery in an agile environment.\n, • Exceptional communication skills for influencing technical and non-technical stakeholders.\n, • Ability to translate business objectives into team-level tasks and priorities.\n, • Experience managing production systems, including on-call rotations, incident response, and reliability engineering. \n \n • Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways of working (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.\n, • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and control expectations; ability to coach managers/leads and influence leaders on safe scaling patterns.\n\n Preferred Qualifications, Capabilities, and Skills: \n Experience with Cloud Native infrastructure (GCP/AWS) and Infrastructure as Code (Terraform/Crossplane). \n Experience in FinTech or highly regulated environments. \n Previous experience in platform engineering or developer experience focused roles. \n Why Join Us? \n We're a new team with a mission to create impactful products and nurture your growth. You'll work in a collaborative, people-first environment where your contributions are valued and your career can thrive. \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n 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. \n ABOUT THE TEAM \n Our 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.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n As an AI Controls Enablement Lead in Controls Strategy & Innovation, you lead a team of Controls professionals with deep technical AI expertise who sit at the intersection of business and technology. The team translates what AI is doing into language that the business and Controls can act on and prototypes automated controls and solutions that can be implemented at scale across Asset & Wealth Management and beyond. \n On any given day, you may conduct a joint risk review with a Control Manager, bringing technical expertise while they own the controls finding. You will act as a co-developer, coach, and gatekeeper across Controls, Technology, and the business, making the invisible visible and the technical actionable. \n This role provides significant exposure to senior Controls leadership and senior business stakeholders, positioning you to influence how Controls builds and deploys AI-enabled solutions for the business. It is a stimulating environment where you will collaborate across disciplines to deliver creative and sustainable solutions. \n Our people-first culture underpins everything we do. Here, you will have the opportunity to grow your career, develop future-focused skills, and join a diverse and inclusive community that embraces teamwork and innovation. \n Job Responsibilities \n\n • Develop AI tools alongside Citizen Developers and Technology, optimizing control frameworks, identifying risks sooner, and working with the business to solve problems while co-signing every tool submission before deployment.\n, • Determine the appropriate tool to solve business problems in a cost-effective manner across AI and automation technologies (e.g., UiPath, Python, and other JPMorgan-authorized workflow, process, and decision automation tools) to prototype and scale automated controls.\n, • Run scenario simulations and red-team exercises; establish best practices and standards for the review and deployment of AI tools across the AI Controls Enablement team.\n, • Lead the AI Controls Council and produce the quarterly AI Controls Intelligence Report for senior leadership, including the status of in-flight items, prioritization of new work, and solutions launched with impact.\n, • Define measurable outcomes for the team, guide solution development, and foster collaboration while establishing and sharing best practices.\n\n Required Qualifications, Capabilities, and Skills \n\n • Demonstrated expertise in risk or control management within financial services, with a focus on compliance and operational risk mitigation.\n, • Demonstrated understanding of AI models, including their assumptions, limitations, and failure modes.\n, • Proven ability to translate complex, technical AI behavior into documented, escalatable, and actionable risk findings within a controls framework.\n, • Capability to implement robust controls to safeguard business operations and meet critical regulatory requirements.\n, • Proficiency in process and data analysis to enhance control environments and interpret business needs and trends.\n, • Confident leadership and sound judgment to influence a strong culture of risk management.\n, • Strong internal stakeholder management skills, including the ability to communicate and collaborate effectively with senior Controls leadership and senior business stakeholders.\n, • Strong project management skills and a commitment to operational excellence.\n, • Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Visio), with the ability to develop compelling and meaningful executive presentations.\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n 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. \n ABOUT THE TEAM \n J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.â

hackajob is collaborating with Baringa Partners to connect them with exceptional professionals for this role. \n Our Solutions & AI Lab practice are looking for an experienced Platform Engineering Manager to join the team. \n Our Solutions & AI Labs (SAIL) practice focuses on helping clients control their data, turn them into actionable insights and better leverage them through the use of Machine Learning solutions directly embedded into businesses processes. We support clients across a number of industries and offer deep expertise in AI, ML, Cloud and Managed Solutions. \n What you will be doing \n\n • Focus on the hardening of environments and ensuring policies are planned and enforced\n, • Implement and advocate for security best practices in all aspects of the development and deployment lifecycle\n, • Ensure compliance with industry standards and manage risks associated with cloud deployments\n, • Prioritize modularity and the toolchain produced by the platform engineering team to support accelerators and automation\n, • Design, architect, develop, deploy, and evolve CI/CD systems to help our clients transition to cloud-based data analytics platforms (AWS, Azure, GCP) and leverage modern architecture patterns (e.g., APIs, events)\n, • Write and maintain Infrastructure as Code (IaC) and automate application deployment using industry-standard tools and services\n, • Scale the services and toolchain produced by the platform engineering team to support accelerators and automation of configuration improvements\n, • Build reusable, extensible, secure artifacts and drive Cloud and DevOps industry best practices on engineering teams\n, • Design and implement solutions that ensure high availability and disaster recovery\n, • Define and implement monitoring best practices and deploy health check agents\n, • Ensure logging best practices are defined and implemented\n, • Develop and process an alerting strategy to define severity and direct alerts appropriately\n, • Translate business requirements (both functional and non-functional) into a simplified solution, ensuring compliance with the organisations strategy, policies and standards\n, • Create high-level designs and architectures which deliver on the needs of the project\n, • Financial operations and cost optimisations of infrastructure and proposed architecture \n\n Your skills and experience \n\n • Experience in designing, architecting, and deploying CI/CD systems for modern data analytics platforms and modern web applications in the cloud\n, • Skilled in writing Infrastructure as Code (IaC) and automating application deployment using industry standard tools and services\n, • Hands on experience on designing, architecting and implementing security, High Availability, Disaster Recovery and monitoring aspects of cloud solutions.\n, • Competent in at least one popular programming language, such as Python or JavaScript\n, • 5+ years of experience in hands on delivery of devops, platform engineering, solution design, cloud architecture & development\n, • Understanding of how to architect modern solutions in the cloud that are robust and scalable, striving for simplicity and low maintenance\n, • Desire to support and help build internal development platforms and design systems to use as accelerators, using the developer teams as key stakeholders to drive and influence demand and prioritisation\n, • Ability to justify and define best practices and standards, influencing the software development lifecycle policy\n, • Experience of building robust modular CI/CD templates, that centralise and govern responsibility while always challenging raising the bar in quality for the development team\n, • Comfortable to be challenged by other architect/security teams and explain the merits of your proposal \n, • We expect applying candidates to hold or willing to obtain one of the below certifications or better: \n ▪ AWS Associate (Developer, Architect, SysOps) \n ▪ Azure Associate (Developer, Administration) \n ▪ GCP Associate (Cloud Engineer) \n ▪ Hashicorp: Terraform Associate\n

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n As a Forward Deployed Engineer (FDE) in the Google Cloud Consulting organization, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an "innovator-builder," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing "white glove" deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. \n Minimum qualifications: \n\n • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.\n, • 5 years of experience with software development using Python or similar coding languages.\n, • Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., GCP).\n, • Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.\n, • Experience leading technical discovery sessions with customers.\n, • Experience architecting AI systems on cloud platforms (e.g., GCP).\n\n Preferred qualifications: \n\n • Master’s degree or PhD in AI, Computer Science, or a related technical field.\n, • Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).\n, • Experience in a post-sales or technical consulting delivery function.\n, • Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.\n, • Ability to communicate in French, German or other European language (e.g., Spanish and Italian) fluently to support client relationship management in this region.\n, • Ability to travel regionally to engage with local stakeholders and customers.\n\n Responsibilities: \n\n • Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI).\n, • Architect and code the "connective tissue" between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.\n, • Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.\n, • Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.\n, • Co-build with pre-sales and product teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.\n

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n We are looking for a Product Director to own and evolve the internal platform that powers Risk, Compliance, and Financial Operations at Wise. \n As money moves instantly across borders, bad actors move just as fast. The Mitigation Platform Squad is a 30-person, cross-functional organization (spanning three distinct teams) dedicated to building the next generation of our operational infrastructure. \n Your mission is to move our operations from manual review engines to AI-augmented, predictive workflows, ensuring we scale our customer base exponentially without scaling our operational headcount at the same rate. \n What You Will Build & Own: \n You will lead the overarching product strategy for how we collect customer risk data, route tasks, and handle complex financial crime investigations. Specifically, your squad focuses on three core pillars: \n\n • The 360° Customer Data Engine: Revolutionize how we collect, ingest, and synthesize customer information. You will build frameworks that aggregate complex data points into a unified, real-time risk profile, giving analysts instant context without the hunt.\n, • Intelligent Case Handling & Workflows: Own the end-to-end case management experience. You will build flexible, customizable workflow engines that empower operational teams to design, test, and deploy new compliance rules and investigation paths accelerating our time-to-market against new threat vectors.\n, • The AI & Automation Foundation: Set the architectural and product blueprint for augmenting human intelligence. You will integrate machine learning, LLMs, and smart automation into the daily workflow of analysts—from automated data summarization and predictive task routing to AI "copilots" that draft investigation summaries and highlight anomalies.\n\n Key Responsibilities \n\n • Lead a 30-Person Multi-Team Squad: Provide strategic vision, product coaching, and execution leadership to three cross-functional teams of engineers, designers, and analysts.\n, • Pioneer AI-Augmented Operations: Identify high-friction manual processes in KYC, EDD (Enhanced Due Diligence), and fraud investigation, partnering with Data Science to deploy automated decisioning and generative AI assistance.\n, • Unify the Operational Stack: Oversee the consolidation of fragmented tooling into a seamless, cohesive platform, standardizing core risk, quality assurance (QA), and workforce management (WFM) processes globally.\n, • Drive Cross-Functional Alignment: Act as the primary bridge between global product teams, compliance officers, and operational floor managers, ensuring platform improvements directly drop our cost of servicing.\n, • Operate as a Player-Coach: Seamlessly zoom out to set a 2-year platform vision, and zoom in to unblock technical architectural decisions or analyze operational workflow bottlenecks.\n\n Qualifications \n What We’re Looking For \n\n • Platform & Scale Experience: You have built and scaled complex platforms, internal operating systems, or B2B SaaS products supporting thousands of daily active users or millions of end-consumers. You understand the intricate architecture required for high-availability, low-latency workflows.\n, • AI & Automation Intuition: You don't need to be a machine learning engineer, but you know how to productize data science. You look at a manual operational workflow and immediately see how smart heuristics, predictive models, or LLM summarization can 10x human output.\n, • Proven People Leadership: You have experience hiring, onboarding, and mentoring Product Managers (both ICs and Leads). You know how to build a high-context, autonomous culture across multiple distributed sub-teams.\n, • Relentlessly Data-Driven: You self-serve with SQL/data tools to uncover operational bottlenecks, quantify friction, and measure the ROI of automation. You tell compelling stories with data to rally engineering and compliance around a shared metric.\n, • Consumer-Grade Mindset for Internal Tools: You reject the idea that internal operational tools should be clunky or slow. You care deeply about UX, design, and developer/analyst ergonomics.\n\n Additional Information \n We’re people without borders — without judgment or prejudice, too. We want to work with the best people, no matter their background. So if you’re passionate about learning new things and keen to join our mission, you’ll fit right in. Where and what you studied isn't important to us. If you’ve got great experience, the right skills for the role, and you’re great at articulating your thinking, we’d like to hear from you. \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. \n Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. \n Individual pay is determined by factors including job-related skills, experience, and relevant education or training. \n France: €176000 - €180000 (EUR) + 25% bonus target + equity + benefits \n Learn more about benefits at Google. \n Minimum qualifications: \n\n • Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.\n, • 10 years of experience in technical sales engineering or software engineering with cloud-native architectures.\n, • Experience architecting, training, or deploying machine learning models and managing AI/ML infrastructure.\n, • Experience working with the early-stage startup ecosystem, including founders, venture firms, or accelerators.\n\n Preferred qualifications: \n\n • Direct experience as a startup Founder, Co-Founder, or Chief Technology Officer (CTO) who has successfully built, scaled, and navigated a technical venture through early-stage growth, venture funding, or acquisition.\n, • Experience contributing to the developer community through open-source contributions, technical publications, or speaking at industry conferences in the field of AI/ML.\n, • Deep expertise in AI/ML, specifically with large language models (LLMs) and generative AI applications.\n, • \n Ability to communicate in English and French fluently to communicate in this customer-facing sales role. \n • \n A leader with a track record of working in complex, highly-matrixed, cross-functional environments across countries and cultures. \n\n Responsibilities: \n\n • Engage, onboard, and provide technical advisory to high-potential founders.\n, • Expand our presence in key European technology hubs by designing and leading advanced technical workshops, presenting keynotes at premier developer events, and maintaining a strong professional standing on public developer platforms.\n, • Act as point of contact for founders to navigate Google’s broader ecosystem, securing custom resource allocations and bypassing typical operational friction. Validate architectures, and build technical prototypes or demonstrations of advanced AI capabilities.\n, • Partner closely with Venture Ecosystem teams to lead technical workshops and scale adoption. Coordinate with regional sales and engineering teams to transition accounts.\n, • Act as the liaison between startup founders and internal product, engineering, and research teams. Gather, synthesize, and advocate for critical technical requirements and product gaps, directly influencing our long-term hardware, software, and AI product roadmaps.\n\n For France Applicants: \n Google welcomes people with disabilities.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. \n Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. \n Minimum qualifications: \n\n • Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.\n, • 10 years of experience in a customer-facing technical role (e.g., Customer Engineer, Solutions Architect, or Developer Advocate) within the cloud computing industry.\n, • Experience in at least one of the following: Cloud Platforms (e.g., GCP), AI for retail industry usecases, Gemini or related AI Technologies.\n\n Preferred qualifications: \n\n • 3 years of experience in a Technical Sales Engineering Role.\n, • 2 years of experience in the Retail Industry.\n, • Proven ability to quickly learn, understand, and work with new emerging technologies, methodologies, and solutions.\n\n Responsibilities: \n\n • Manage the technical relationship with customers, including managing product and solution briefings, proof-of-concept work, and the coordination of additional technical resources.\n, • Work with the team to identify and qualify business opportunities, identify key customer technical objections, and develop a strategy to resolve technical blockers.\n, • Test and inspire customers and peers to solve difficult issues with ambitious and novel solutions leveraging a sophisticated set of technical competences.\n, • Recommend migration strategies, enterprise architectures, migration tools, and cloud infrastructure required to successfully implement a complete solution using best practices on Google Cloud.\n

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n As an AI Controls Enablement Vice President in Controls Strategy & Innovation, you will help translate complex AI risks into practical business and controls solutions. You will work at the intersection of Controls, Business, and Technology, partnering with stakeholders to identify risks, develop scalable solutions, and strengthen control environments. You will help make technical AI concepts understandable and actionable while contributing to the future of AI-enabled controls. This role offers significant exposure to senior leadership and the opportunity to influence how AI is adopted across the organization. \n On any given day, you may conduct a joint risk review with a Control Manager, bringing technical expertise while they own the controls finding. You will act as a co-developer, coach, and gatekeeper across Controls, Technology, and the business, making the invisible visible and the technical actionable. \n This role provides significant exposure to senior Controls leadership and senior business stakeholders, positioning you to influence how Controls builds and deploys AI-enabled solutions for the business. It is a stimulating environment where you will collaborate across disciplines to deliver creative and sustainable solutions. \n Our people-first culture underpins everything we do. Here, you will have the opportunity to grow your career, develop future-focused skills, and join a diverse and inclusive community that embraces teamwork and innovation. \n Required Qualifications, Capabilities, and Skills \n\n • Experience in risk or control management within financial services, with a focus on compliance and operational risk mitigation.\n, • Technical AI fluency with an understanding of how AI models work, including their assumptions, limitations, and failure modes.\n, • Ability to translate complex technical AI behavior into documented, actionable risk findings within a controls framework.\n, • Capability to implement robust controls to safeguard business operations and meet regulatory requirements.\n, • Proficiency in process and data analysis to enhance control environments and interpret business needs and trends.\n, • Strong stakeholder management skills, including the ability to communicate and collaborate effectively with senior Controls leadership and business stakeholders.\n, • Strong project management skills and a commitment to operational excellence.\n, • Proficiency in Microsoft Office applications, including Word, Excel, PowerPoint, and Visio, with the ability to develop compelling executive presentations.\n\n Preferred Qualifications, Capabilities, and Skills \n\n • Hands-on experience with AI and large language model (LLM) tools, ideally on low-code or approved development platforms, with an instinct for identifying design risks early.\n, • Experience with automation platforms such as Python, UiPath, Pega, or other workflow, process, and decision automation tools.\n, • Relevant AI and cloud certifications, such as NVIDIA-Certified Associate: Generative AI and LLMs (NCA-GENL) or AWS Certified AI Practitioner.\n, • Familiarity with the AI regulatory and policy landscape, model releases, and AI incident trends, with the ability to assess their control implications.\n, • Excellent written, presentation, and verbal communication skills, with the ability to influence stakeholders and drive organizational change.\n, • Ability to operate with minimal direction while consistently delivering results and making decisions aligned with organizational objectives.\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n 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. \n ABOUT THE TEAM \n J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.â

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Join us to directly influence the future of technology at JPMorganChase. As a Senior Security Architect - SecOps and Vulnerability Management, you'll collaborate with top cybersecurity and engineering talent, solving complex challenges and enabling safe, secure innovation. Your passion for security and drive to make a real impact are valued here. Grow your skills in a dynamic environment designed for achievers. Help us build products that prioritize security from the start. \n Job Summary: \n As a Senior Security Architect - SecOps and Vulnerability Management in the Cybersecurity & Technology Controls team for International Consumer, you will proactively partner with technology and business colleagues to identify and address security issues. You will embed security culture, lead threat modeling, and drive architecture reviews to ensure our products are secure by design. Your role will be pivotal in managing emerging risks, influencing product strategy, and serving as the subject matter expert for the SecOps and Vulnerability Management strategy as well as embedding detection and response capabilities on a modern technology stack. You will collaborate globally, supporting audit, regulatory, and risk initiatives, with a focus on cloud computing and emerging technologies. \n Job Responsibilities: \n\n • Design, scale, and manage the enterprise SIEM architecture to provide centralized visibility and high-fidelity threat detection across all corporate and cloud infrastructure.\n, • Develop and influence advanced SIEM correlation rules, custom data parsers, and detection logic to significantly minimize alert fatigue for the SOC team.\n, • Architect the end-to-end SBOM lifecycle to continuously track, analyze, and mitigate open-source and third-party software supply chain risks.\n, • Design a risk-based vulnerability management platform that automatically prioritizes infrastructure and application flaws utilizing real-world exploit intelligence and asset criticality.\n, • Build and optimize SOAR playbooks to automate incident response workflows, accelerate threat containment, and streamline vulnerability ticketing.\n, • Provide senior technical escalation support during critical security incidents and drive post-incident root-cause analysis to continuously improve defensive controls.\n, • Cultivate a security-first culture across product, technology, and business teams by providing developer-friendly tooling, training, and reusable secure patterns that accelerate rather than hinder delivery.\n, • Act with urgency to manage emerging security issues, monitor risk indicators, and recommend resolutions. Serve as the escalation point for IT Risk and Cyber domains related to Cybersecurity Operations and Vulnerability Management.\n, • Partner with engineering leads, product owners, and vendors to ensure effective technology risk management, translating regulatory and policy requirements into actionable, engineer-friendly controls.\n, • Support audit, regulatory, and risk activities by providing evidence of control effectiveness and translating compliance requirements into automated, repeatable processes.\n, • Identify and address unfamiliar technology components, share best practices, and influence peers to drive continuous improvement in SecOps and Vulnerability Management maturity across the organization.\n, • Uses enterprise-authorized AI capabilities within the work environment to accelerate cybersecurity risk analysis and control assessment, validating outputs and handling data according to sensitivity and security requirements.\n, • Drives reuse-first adoption of AI-assisted security validation within SDLC/toolchain routines, improving control testing, remediation quality, and traceability/auditability in line with resiliency expectations.\n\n Required Qualifications, Capabilities, and Skills: \n\n • Hands-on experience advising and influencing enterprise SIEM platforms (e.g., Microsoft Sentinel, Splunk, Chronicle/SecOps). Must be proficient in writing/reviewing advanced detection logic (KQL, SPL, or YARA rules).\n, • Deep execution knowledge of generating, managing, and analyzing Software Bills of Materials (SBOMs using frameworks like CycloneDX or SPDX) and integrating them with tools like Dependency-Track or Snyk to track open-source vulnerabilities.\n, • Advanced threat modeling experience (e.g., STRIDE-LM) for SIEM data flows, log ingestion pipelines, and vulnerability management platforms\n, • Experience architecting vulnerability programs using tools like Tenable, Qualys, or Wiz, specifically utilizing EPSS (Exploit Prediction Scoring System) alongside CVSS to determine patching prioritisation.\n, • Ability to design and influence automated response playbooks using SOAR platforms\n, • Practical experience creating reference architectures and patterns for engineering teams.\n, • Proven ability to design and deploy automated preventive and detective guardrails at scale.\n, • Ability to solve design and functionality problems independently.\n, • Strong written and verbal communication skills.\n, • Demonstrated success in influencing peers and stakeholders.\n, • Ability to evaluate and recommend emerging technologies for future state architecture.\n, • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support cybersecurity architecture workflows with strong validation habits and awareness of data sensitivity.\n, • Ability to assess and validate AI-assisted security recommendations before adoption, escalating uncertainty and ensuring outcomes align to security, resiliency, and auditability expectations.\n\n Preferred Qualifications, Capabilities, and Skills: \n\n • Experience deploying AI-native capabilities within Google SecOps, leveraging Gemini-powered intelligence and ML-based anomaly detection to enhance UEBA and accelerate SOC triage at scale.\n, • Experience partnering with Red/Purple Teams to simulate attacks and actively validate that SIEM rules fire as intended.\n, • The ability to identify thematic vulnerability trends and common denominators to drive highest-impact, lowest-effort Vulnerability remediation.\n, • Experience operating in regulated organizations with a 3LoD model.\n, • Willingness to challenge existing processes respectfully.\n, • Experience translating policy and regulatory requirements into control design for engineers and architects.\n, • Proven ability to upskill and learn modern technologies.\n, • Experience in financial services consumer businesses or Fintech organizations.\n\n #ICBCareers \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n 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. \n ABOUT THE TEAM \n Our 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.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n We are seeking an experienced Senior Python Developer to join our Athena Rates development team to work on Risk and PnL framework in Rates LOB. In this role, you will architect, design, develop, and integrate sophisticated solutions that support trading desks and back office functions across rates products. You will work at the intersection of technology and finance, delivering high-impact systems that enable critical risk management and profit & loss analysis for our trading operations. \n Key Responsibilities \n As a Senior Python Developer on our team, you will build and maintain robust software solutions for rates trading activities. You will collaborate closely with quantitative analysts, traders, risk managers, to integrate systems across front office , middle and back office processing. Your work will directly support trading operations across multiple Rates Swap Derivative products and Options products . \n You will be responsible for developing scalable, performant code that handles large volumes of market data and complex financial calculations. This includes implementing risk metrics, PnL attribution frameworks, and data pipelines that connect trading systems with downstream consumers. You will participate in architectural decisions, code reviews, and technical design sessions, contributing your expertise to shape the evolution of this automated platform in Rates. \n Required Qualifications \n\n • Minimum 5 years of hands-on Python development experience\n, • Strong preference for candidates with financial services background\n, • Solid understanding of software engineering principles including object-oriented design, testing methodologies, and version control practices\n, • Demonstrated ability to write clean, maintainable code and work effectively within large, complex codebases\n, • Strong verbal and written communication skills with ability to articulate technical concepts to both technical and non-technical stakeholders\n, • Proven ability to gather requirements from business users and collaborate across multiple teams and functions\n, • Capability to translate business needs into technical solutions and explain technical constraints in business terms\n, • Willing to understand and work on legacy applications when required \n\n Preferred Qualifications \n\n • Prior experience with other financial risk stack platforms such as SecDB, Quartz, or Athena\n, • Knowledge of rates products including Swaps, Securities, Options, and Repo\n, • Familiarity with risk methodologies and PnL calculation frameworks\n, • Experience with distributed systems and real-time data processing\n, • Proficiency with relational and NoSQL databases\n, • Knowledge of modern development practices including CI/CD pipelines and containerization\n, • Exposure to quantitative finance concepts and market risk measures\n, • Understanding of regulatory reporting requirements in financial services\n, • \n Usage of Agentic AI tools for Software Development , Testing , Analysis \n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n 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 \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with BNY to connect them with exceptional professionals for this role. \n We’re seeking a future team member for the role of Senior Vice President, Senior Software Engineering, Developer Experience to join our Developer Experience (DevEx) team. This role is located in London. \n In this role, you’ll make an impact in the following ways: \n\n • Lead, mentor, and manage a high-performing Build Engineering team, setting clear technical direction and career growth paths.\n, • Oversee the architecture and implementation of BNY’s central build automation platform, ensuring high availability, reliability, and security.\n, • Create developer-friendly templates, quick start guides, and troubleshooting tools to help feature teams quickly create performant, transparent, and compliant build automation.\n, • Optimize developer workflows by streamlining build orchestration, dependency management, and CI/CD pipelines to accelerate software delivery while reducing friction.\n, • Drive observability and resilience by integrating telemetry, analytics, and automated remediation into build systems to proactively identify and resolve bottlenecks and failures.\n, • Champion secure software supply chain practices, artifact management standards, and consistent build strategies across the enterprise.\n, • Partner closely with Product Management, SRE, Security, and application engineering teams to ensure alignment with developer needs and organizational priorities.\n, • Foster innovation by evaluating and adopting emerging technologies, including AI-assisted build optimization and intelligent failure diagnosis.\n, • Define and track key metrics such as build success rate, duration, cost efficiency, adoption rates, and developer satisfaction to continuously improve the platform.\n\n To be successful in this role, we’re seeking the following: \n\n • Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred\n, • Expert-level competency in one or more modern programming languages (e.g., Java, Go, JavaScript, Python).\n, • Proven expertise with modern build automation and CI/CD tools (e.g., GitHub Actions, GitLab CI/CD, Jenkins, Bazel, Gradle, Maven).\n, • Strong technical leadership skills with the ability to set architectural direction and drive complex initiatives across teams.\n, • Experience delivering large-scale, mission-critical developer platforms in an enterprise or high-scale environment.\n, • Excellent collaboration and communication skills, able to engage effectively with engineers, architects, and executives.\n\n Preferred qualifications include: \n\n • Background in Developer Experience (DevEx), Platform Engineering, or Build/Release Engineering.\n, • Experience with artifact repositories (e.g., Artifactory, Nexus) and secure software supply chain practices.\n, • Knowledge of observability systems, telemetry frameworks, and performance optimization for build pipelines.\n, • Exposure to AI/ML-driven build acceleration and failure prediction tooling.\n, • Prior hands-on software development experience building customer-facing features.\n\n At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. \n Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n As a Forward Deployed Engineer (FDE) in the Google Cloud organization, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. \n Minimum qualifications: \n\n • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.\n, • 5 years of experience with software development using Python or similar coding languages.\n, • Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.\n, • Experience taking production-grade AI-driven solutions from conception to launch, and architecting AI systems on cloud platforms (e.g., Google Cloud Platform).\n, • Experience leading technical discovery sessions with customers.\n, • Ability to communicate in French or German fluently as this is a customer-facing role that requires interactions in French or German with local stakeholders.\n\n Preferred qualifications: \n\n • Master’s degree or PhD in AI, Computer Science, or a related technical field.\n, • Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).\n, • Experience in a post-sales or technical consulting delivery function.\n, • Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.\n, • Excellent communication skills, and proven experience enabling technical teams on Agentic AI, at scale.\n\n Responsibilities: \n\n • Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI).\n, • Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.\n, • Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.\n, • Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.\n, • Co-build with pre-sales and product teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.\n

hackajob is collaborating with HSBC to connect them with exceptional professionals for this role. \n If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. \n HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. \n We are currently seeking a professional to join our team in the role of FX Options Electronic Trading Quant & Product Owner (Associate Director). \n This role sits within Markets, as part of the FX Options Trading Desk, working closely with colleagues across Quantitative Research and Technology to design, prototype, and deliver electronic trading capabilities for FX Options. The role is based in London. \n The purpose of the role is to own the roadmap and delivery of FX Options electronic trading tooling, including electronic pricing, volatility surface marking, exchange-listed FX options execution, and backtesting infrastructure. This is a hands-on position requiring strong stakeholder leadership and the ability to stay close to the code—prototyping solutions and validating them against live market behaviour. \n As an HSBC employee in the UK, you will have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution. \n In this role you will be responsible for: \n\n • Own the product roadmap for FX Options electronic trading tooling, balancing trader demand, P&L impact, technical feasibility, and strategic direction, and acting as the key point of accountability for the desk\n, • Define and deliver electronic pricing and execution capabilities across volatility surface construction and automated marking, streaming/RFQ pricing for vanilla and exotics, and exchange-listed FX options execution (e.g., CME)\n, • Prototype and validate models and decision logic (primarily in Python) to de-risk delivery, resolve ambiguous requirements with data, and partner with core Quant on model development and validation\n, • Build backtesting and analytics capability to assess strategy performance and support evidence-based enhancement prioritisation\n, • Lead end-to-end delivery and operational ownership, including requirements, testing/UAT, rollout, post-release support, issue investigation, and contributing to controls/monitoring and broader e-trading architecture\n, • Identify and implement AI/ML-driven workflow improvements that enhance trader experience and deliver measurable business outcomes\n\n To be successful in this role you should have: \n\n • Demonstrable experience in FX (or closely related Rates / Equity Derivatives) electronic trading in a Quant, Strat, Quant Developer, or Quant/Product Owner capacity\n, • Strong mathematical background and the ability to translate trading problems into well-specified quantitative and engineering work\n, • Strong understanding of FX Options pricing, including volatility surface representations, Greeks and second-order risks, practical vol marking, and risk management for an exotic options book\n, • Strong coding ability in Python and/or C++, sufficient to prototype pricing logic, analyse trading data, and read/review production code\n, • Demonstrated experience building or owning electronic pricing / auto-quoting systems, including controls and operational readiness\n, • Proven track record of delivering production changes end-to-end, including handling edge cases, post-release support, and working constructively through trader feedback and challenge\n, • Strong stakeholder management skills with the ability to build trusted relationships across Trading, Quant and Technology teams\n\n Opening up a world of opportunity. \n Being open to different points of view is important for our business and the communities we serve. \n At HSBC, we’re dedicated to creating diverse and inclusive workplaces - no matter their gender, ethnicity, disability, religion, sexual orientation, or age. We are committed to removing barriers and ensuring careers at HSBC are inclusive and accessible for everyone to be at their best. We take pride in being a Disability Confident Leader and will offer an interview to people with disabilities, long term conditions or neurodivergent candidates who meet the minimum criteria for the role. \n If you have a need that requires accommodations or changes during the recruitment process, please get in touch with our Recruitment Helpdesk: \n Telephone: +44 207 832 8500

hackajob is collaborating with BNY to connect them with exceptional professionals for this role. \n Senior Associate, Full-Stack Engineer Opportunities. \n At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. \n Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. \n We welcome you to apply! When applying to this general posting, our expert BNY Talent Acquisition Team may also review your resume for consideration across other open roles within the company. \n We’re seeking a future team member for the role of Senior Associate, Full-Stack Engineer to join our team. This role is located in London. \n Role Overview: We’re seeking a Full Stack Developer to build secure, scalable, and resilient systems. You’ll work primarily on the backend while contributing to modern web frontends, owning delivery across the product lifecycle and collaborating closely with product and design partners. \n In this role, you’ll make an impact in the following ways: \n\n • Design, build, and maintain backend services, batches and APIs, contributing to UI components as needed.\n, • Own end-to-end delivery: implementation, testing, deployment, observability, and reliability.\n, • Write clean, well-tested code; participate in code reviews and continuous improvement.\n, • Collaborate with product, design, and operations to translate business needs into technical solutions.\n, • Enhance performance, security, and resiliency through best practices and automation (CI/CD).\n, • Foster a learning, inclusive team culture —aligned to BNY’s principles and pillars.\n\n To be successful in this role, we’re seeking the following: \n\n • Hands-on AI development using modern tools and IDEs (e.g., Windsurf).\n, • Solid understanding of programming concepts and microservices\n, • Proficiency in Java with Spring.\n, • Experience with CI/CD, automated testing (JUnit/Spock), and containers (Docker).\n, • Familiarity with microservices, observability/telemetry (e.g., Splunk, AppDynamics), and cloud deployments.\n, • Curiosity to understand the business domain and translate product strategy into technical solutions.\n, • Working knowledge of Groovy with Spock preferred.\n, • Working knowledge of JavaScript/TypeScript and Angular 15+ preferred.\n\n At BNY, our culture speaks for itself, check out the latest BNY news at: \n BNY Newsroom \n BNY LinkedIn \n Here’s a few of our recent awards: \n\n • America’s Most Innovative Companies, Fortune, 2025\n, • World’s Most Admired Companies, Fortune 2025\n, • “Most Just Companies”, Just Capital and CNBC, 2025\n\n Our Benefits and Rewards: \n BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. \n BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. \n This is a talent pipeline posting and does not represent any one particular job opening. By applying to this pipeline requisition, your interest will be reviewed for multiple potential openings based upon your background and disclosed work preference.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n As a Customer Engineer in the UK/IE Startups & Scaleups Growth team, you will lead high-impact technical engagements with rapidly scaling, high-potential startups and VC-backed businesses. You will help startup founders, CTOs, and developers scale their products on Google Cloud. You will act as a trusted advisor, helping to accelerate their product delivery, optimize their technical architecture, and drive strategic business outcomes. \n Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. \n Minimum qualifications: \n\n • \n Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience. \n • 10 years of experience in a customer-facing technical role (e.g., Customer Engineer, Solutions Architect, or Developer Advocate) within the cloud computing industry.\n, • Experience designing, architecting, and deploying cloud-native applications, containerized environments (Kubernetes/GKE), and modern data pipelines.\n\n Preferred qualifications: \n\n • Experience working directly within or as a technical advisor to high-growth, venture-backed startups or scaleups.\n, • Background as a CTO, lead architect, or head of engineering at a startup, or equivalent experience navigating fast-paced startup lifecycles.\n, • Strong understanding of modern data warehouse architectures, real-time analytics, and data governance (e.g., BigQuery, Spark, Kafka).\n, • Deep technical expertise in Generative AI development (e.g., prompt engineering, model tuning, vector databases like Vertex AI Vector Search, and AI frameworks like LangChain or LlamaIndex).\n, • Active participation in the startup and AI ecosystem, with a track record of public speaking, technical writing, or community contribution.\n\n Responsibilities: \n\n • Deliver compelling presentations, product demonstrations, and technical workshops at Google events, accelerator programs (e.g., Plug n Play, local startup hubs), and industry conferences.\n, • Build and nurture strong, trusted-advisor relationships with startup CTOs, founders, lead architects, and engineering teams.\n, • Help customers design and scale modern data platforms using BigQuery, real-time streaming, and vector databases as the core foundation for their application logic and AI capabilities.\n, • Guide startups on implementing advanced AI workloads, including Generative AI, Large Language Models (LLMs), RAG systems, and agentic workflows, utilizing both first-party (Gemini) and partner model ecosystems (e.g., Anthropic).\n, • Partner with the Sales team to qualify opportunities, address technical objections, and design secure, scalable, and cost-effective cloud architectures.\n

hackajob is collaborating with 8th Light to connect them with exceptional professionals for this role. \n \n Lead Engineer \n Location: Waterloo, London, England, UK | Hybrid (1 day per week in office) \n Who We Are \n At 8th Light, we bring life to the best ideas. \n Founded in 2006 and headquartered in Chicago, we are a technology solutions consultancy that partners with organisations from early-stage startups to the world's largest companies. We take on hard software challenges and turn them into durable results. We build agentic products, the platforms they run on, and the engineering and design at every layer. \n Our commitment to quality means we deliver solutions we’re truly proud of, while our curiosity sparks innovation and breakthrough thinking. 8th Lights thrive in an environment that champions continuous education, fueling our growth through mentorship and hands-on work. We foster an open, collaborative culture grounded in honesty that builds trust, and believe true success is measured by the outcomes we create for our clients. \n If this kind of work and our kind of people energises you, you’ve found the right place. \n Who You Are \n You’ve shown long-term repeated success on a variety of projects, typically over the course of 7+ years. You can be the go-to leader for any software development engagement. You have a broad and deep range of expertise that allows you to make an immediate impact on projects. In your previous experience, you have: \n\n • Successfully led high-stakes consulting engagements from discovery to production \n, • Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you’ve served \n, • Written production-quality code using a variety of languages and frameworks, including but not limited to: Java, C#/.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Scala, R, and SQL\n, • Leveraged AI-assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation\n, • Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) \n, • Used context-appropriate automated testing to inform software design choices and catch bugs\n, • Debugged and refactored pre-existing code to incrementally improve it\n, • Collaborated with teams using Git, MacOS/Linux, and CI/CD\n, • Remedied architecture-level concerns such as scalability, security, reliability, and performance\n, • Brought together people from different functions and perspectives in forums that encourage idea sharing, collaboration, and problem solving\n, • Made thoughtful recommendations and set direction in the face of ambiguity\n, • Mentored and shared knowledge with colleagues\n, • Actively sought out and effectively given feedback\n, • Communicated empathically with stakeholders and colleagues\n, • Collaboratively led stakeholders to balance technical considerations with product and user needs\n\n What You’ll Do At 8th Light \n As a lead technologist on projects, you’ll work with a variety of clients, typically one to two in a year, through a variety of technologies and frameworks over the course of your career with us. You’ll lead more complicated projects, leading teams to do so. You’ll work with colleagues who share your passion for technology solutions. You’ll invest time developing your skills and sharing what you know. You’ll be responsible for: \n\n • Making immediate contributions to projects, rapidly building trust with clients\n, • Working pragmatically to balance technology choices while delivering high-quality work within deadlines\n, • Leading architecture and software design discussions\n, • Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring\n, • Generating new potential solutions to challenges (technical and non-technical) in partnership with team members and clients\n, • Leading or initiating formal feedback conversations with teams and clients via retrospectives\n, • Clearly articulating and documenting outcomes and driving forward action items\n, • Contributing to the health of your team and 8th Light’s culture by modeling our Values\n, • Ensuring your team has a healthy, prioritized, estimated backlog\n, • Managing high-level project roadmaps as the team lead for large engagements\n, • Maintaining relationships with client technical leaders\n, • Regular syncs with the client to provide status updates, and for identifying and evaluating risks and presenting potential solutions\n, • Identifying, mitigating, and resolving blockers to team progress\n, • Contributing to 8th Light by serving as a mentor, leading or designing workshops internally or for clients, representing 8th Light in the tech community, or supporting our hiring processes\n\n Strongly Preferred Skills \n We work across many areas, and encourage anyone with the experience listed above to apply. We would particularly like to encourage applicants with experience in the following areas: \n\n • Platform engineering: building reusable software foundations, internal developer platforms, and infrastructure that other teams build on\n, • Data Engineering: including platforms like Databricks for data processing and analytics\n, • Delivering production agentic systems, including RAG pipelines, vector search, and agentic frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, and n8n\n, • DevSecOps & DevOps\n, • MLOps\n, • Infrastructure as Code\n\n Building a truly diverse, equitable, and inclusive workplace is an ongoing journey, and we’re excited to keep learning and growing together. We have a proud tradition of hiring talented colleagues with real-world career experiences. \n How You’ll be Supported \n At 8th Light, we believe our people are our greatest asset. Their growth, well-being, and success shape our future. \n\n • Our wellness package is designed with the Whole YOU in mind and includes:\n, • A robust L&D programme featuring unlimited access to thousands of books, courses, and expert-led training on the O'Reilly learning platform.\n, • Annual financial stipend and time allotment for learning & development\n, • Coworking support for our global team\n, • 12 weeks of new parent leave available for eligible employees\n\n See our full list of Benefits. \n A Note on Compensation \n At 8th Light, we are committed to a compensation philosophy that is transparent, fair, and helps us attract and retain top talent in alignment with our company’s strategic growth goals and clients’ needs. \n We benchmark our salaries using Geographic Structures to establish competitive pay ranges within the regions where 8th Lights live. Our pay ranges for our Lead Engineer position within London is: £76,023-95,029 GBP. \n Reach out to recruiting@8thlight.com for more relevant information pertaining to your local market. \n 8th Light Hubs and Geographies \n 8th Light's culture is rooted in strong connections that extend across our teams, regions, and beyond client work. We are a distributed team across the United States, Canada, and the United Kingdom, with hubs in Chicago, London, Los Angeles, New York, and Seattle. \n\n • London Co-working: Employees working from our London hub follow a hybrid model, which includes a minimum of one day per week in our Waterloo Office. This co-working day is designed to encourage collaboration and further strengthen our community.In most cases, our consulting engagements do not require travel.\n\n We hope to see you apply! \n #LI-Hybrid \n A Note on Your Privacy \n At 8th Light, one of our core values is Honesty that builds trust — and that shapes how we approach hiring. We want you to have a clear picture of who we are, what we're looking for, and how we handle your information throughout the process. \n Before submitting your application, please take a moment to review our Global Candidate Privacy Notice. By applying, you acknowledge that you've read it.

hackajob is collaborating with 8th Light to connect them with exceptional professionals for this role. \n \n Principal Engineer \n Location: Waterloo, London, England, UK | Hybrid (1 day per week in office) \n Who We Are \n At 8th Light, we bring life to the best ideas. \n Founded in 2006 and headquartered in Chicago, we are a technology solutions consultancy that partners with organisations from early-stage startups to the world's largest companies. We take on hard software challenges and turn them into durable results. We build agentic products, the platforms they run on, and the engineering and design at every layer. \n Our commitment to quality means we deliver solutions we’re truly proud of, while our curiosity sparks innovation and breakthrough thinking. 8th Lights thrive in an environment that champions continuous education, fueling our growth through mentorship and hands-on work. We foster an open, collaborative culture grounded in honesty that builds trust, and believe true success is measured by the outcomes we create for our clients. \n If this kind of work and our kind of people energises you, you’ve found the right place. \n Who You Are \n You’ve shown long-term repeated success on a variety of projects, typically over the course of 10+ years. You are a trusted expert and leader, often called upon to guide ambiguous initiatives and architect scalable solutions. You bring a blend of deep consulting acumen, technical expertise, and product thinking that drives measurable and impactful outcomes. In your previous experience, you have: \n\n • Built and shipped production-grade platforms: the reusable foundations, tools, infrastructure, and workflows that help other teams shift faster and more reliably\n, • Taken AI and agentic systems from prototype to production, with a strong understanding of infrastructure, authentication, and observability\n, • Delivered on high-stakes consulting engagements across multiple language paradigms, stacks, ecosystems, and client industries \n, • Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you’ve served \n, • Led the development and delivery of production-grade software using a variety of languages and frameworks, including but not limited to: Java, C#/.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Scala, R, and SQL\n, • Actively experimented with AI development tools and translated that experimentation into faster, higher-quality delivery for your teams\n, • A track record of understanding, assessing, and embracing new tooling and trends within the software industry\n, • Built or integrated AI/ML features into products and systems, including recommendation engines, NLP, computer vision, predictive analytics, RAG pipelines, and agents\n, • Successfully led modernisation and replatforming efforts to align legacy systems with short and long-term business needs\n, • Led and delivered solutions to architecture-level problems including scalability, security, reliability, performance, maintainability, and observability\n, • Facilitated alignment across technical and non-technical stakeholders to move initiatives forward through ambiguity and complexity\n, • Provided mentorship and team support at scale, while sharing knowledge and improving team practices \n, • Collaboratively led stakeholders to balance technical considerations with product and user needs\n, • Actively sought out and effectively given feedback\n\n What You’ll Do At 8th Light \n As a go-to technologist and strategist within 8th Light, you’ll work with a variety of clients, typically one to two in a year, while continuing to deepen your and our collective domain expertise over the course of your career with us. You’ll be responsible for: \n\n • Rapidly building trust with clients, demonstrating technical expertise and understanding of their domain and objectives \n, • Driving platform engineering work at the client level, connecting long-term technical vision to what ships \n, • Leading platform strategy and delivery across diverse platform types, connecting long-term vision to what ships\n, • Working pragmatically to balance technology choices while delivering high-quality work within deadlines\n, • Advising clients on architecture, scalability and platform evolution, connecting technical decisions to product and business outcomes\n, • Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring\n, • Driving innovation by proactively surfacing new technical approaches and product solutions\n, • Leading or initiating formal feedback conversations with teams and clients via retrospectives\n, • Clearly articulating and documenting outcomes and driving forward action items\n, • Contributing to the health of your team and 8th Light’s culture by modeling our Values\n, • Designing and managing high-level technical roadmaps for large engagements\n, • Building your network and maintaining relationships with clients and other industry leaders within your domain\n, • Coaching client engineering teams, transferring knowledge and leveling up practices\n, • Influencing client CTOs and executive decisions. Planning and execute technical work that involves stakeholders outside of project boundaries such as across a client's technical organization\n, • Partner with account teams on planning, opportunity identification, stakeholder relationships, and pre-sales scope shaping\n, • Facilitating retrospectives, strategy sessions, and technical deep-dives to improve team and project outcomes\n, • Identifying, mitigating, and resolving blockers to team progress\n, • Contributing to 8th Light by serving as a mentor, leading or designing workshops internally or for clients, representing 8th Light in the tech community, or supporting our hiring processes\n, • Demonstrating leadership in scalable system design, modular architecture, and platform- or product-oriented development\n, • Bringing depth in testing strategies, observability, fault tolerance, and secure engineering practices\n, • Applying architectural patterns to evaluate tradeoffs and drive clear, documented design rationale\n\n Strongly Preferred Skills \n We work across many areas, and encourage anyone with the experience listed above to apply. We would particularly like to encourage applicants with experience in the following areas: \n\n • Platform engineering: building reusable software foundations, internal developer platforms, and infrastructure that other teams build on\n, • Data Engineering: including platforms like Databricks for data processing and analytics\n, • Delivering production agentic systems, including RAG pipelines, vector search, and agentic frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, and n8n\n, • DevSecOps & DevOps\n, • MLOps\n, • Infrastructure as Code\n\n Building a truly diverse, equitable, and inclusive workplace is an ongoing journey, and we’re excited to keep learning and growing together. We have a proud tradition of hiring talented colleagues with real-world career experiences. \n How You’ll be Supported \n At 8th Light, we believe our people are our greatest asset. Their growth, well-being, and success shape our future. \n\n • Our wellness package is designed with the Whole YOU in mind and includes:\n, • A robust L&D programme featuring unlimited access to thousands of books, courses, and expert-led training on the O'Reilly learning platform.\n, • Annual financial stipend and time allotment for learning & development\n, • Coworking support for our global team\n, • 12 weeks of new parent leave available for eligible employees\n\n See our full list of Benefits. \n A Note on Compensation \n At 8th Light, we are committed to a compensation philosophy that is transparent, fair, and helps us attract and retain top talent in alignment with our company’s strategic growth goals and clients’ needs. \n We benchmark our salaries using Geographic Structures to establish competitive pay ranges within the regions where 8th Lights live. Our pay ranges for our Principal Engineer position within London is: £92,818-£116,122 GBP \n Reach out to recruiting@8thlight.com for more relevant information pertaining to your local market. \n 8th Light Hubs and Geographies \n 8th Light's culture is rooted in strong connections that extend across our teams, regions, and beyond client work. We are a distributed team across the United States, Canada, and the United Kingdom, with hubs in Chicago, London, Los Angeles, New York, and Seattle. \n\n • London Co-working: Employees working from our London hub follow a hybrid model, which includes a minimum of one day per week in our Waterloo Office. This co-working day is designed to encourage collaboration and further strengthen our community.In most cases, our consulting engagements do not require travel.\n\n We hope to see you apply! \n #LI-Hybrid \n A Note on Your Privacy \n At 8th Light, one of our core values is Honesty that builds trust — and that shapes how we approach hiring. We want you to have a clear picture of who we are, what we're looking for, and how we handle your information throughout the process. \n Before submitting your application, please take a moment to review our Global Candidate Privacy Notice. By applying, you acknowledge that you've read it.

hackajob is collaborating with loveholidays to connect them with exceptional professionals for this role. \n Why Technology at loveholidays? \n At loveholidays - we trailblaze together. We’re on a mission to open the world to everyone, giving our customers’ unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers’ personal holiday expert - the smart way to get away. \n Technology at loveholidays underpins our vision to become the global leader in packaged holidays. We drive cutting-edge innovation and technical excellence to futureproof the business. Our systems process trillions of daily holiday offers, we deploy over a thousand times a month, serving thousands of requests per second. This is where you can accelerate your growth by solving complex challenges and broadening your skillset. \n Join us to create impact for our future in an exciting new chapter, owning your success and contributing to shared goals. We actively talk about technology and adhere to our key technology principles that have guided us this far. We are growing and have ambitious plans to expand across Europe, employing the best minds and technology to let us do this. \n About the team: \n Our product teams work across the customer journey to unlock opportunities that enable commercial growth and build value for our customers. In order to maximise the impact of these teams we need to further invest in our design system to enhance its potential as a critical platform for growth. We are evolving our ways of working and investing heavily in AI. This makes it a critical period for our design system to mature into the intelligence layer we need it to be to drive quality output and outcomes, helping us realise our ambition of becoming the global leader in packaged holidays. \n The impact you’ll have: \n As Design System Engineer, you’ll play a pivotal role in elevating product quality and consistency across loveholidays’ customer-facing experience. Working with design and tech leaders you'll own the evolution of our design system – bridging design intent and frontend implementation – while helping our teams move faster and ship more consistently, especially as AI-assisted development becomes central to how we build. \n This is a rare opportunity to shape the visual and interactive foundation of a product used by millions of travellers, working at the intersection of design craft, frontend engineering, and developer experience. \n Additional Info: This role is a 12-month FTC contract \n Your day-to-day: \n\n • \n Operationalise the design system. Co-lead its evolution and governance, build and maintain a robust component library in React/TypeScript, and establish clear adoption standards across product teams – enabling the operational loop between Figma, code, and multi-brand delivery \n • \n Help define how our design system supports AI-generated frontend code (Claude Code, Cursor and similar tooling), reducing rework and improving consistency of AI output, whilst enabling innovation and experimentation at scale \n • \n Bridge design and engineering, working closely with product designers and engineers to translate design decisions into reusable, production-ready components \n • \n Review design system features before release to ensure they meet high UX and consistency standards; make targeted visual and interaction refinements aligned with design system guidelines \n • \n Improve developer experience by partnering with engineers to make the system intuitive to use, well-documented, and a genuine accelerant \n • \n Collaborate with design leadership, product managers, and engineering to ensure the system reflects evolving product priorities \n\n Your skillset: \n\n • \n Proven experience building and evolving multi-platform design systems (Web, iOS, Android). You are an expert in React, TypeScript, and modern CSS, with a focus on token architecture and scalable component libraries \n • \n You are a true systems thinker who understands versioning, governance, and adoption strategies. You can anticipate the downstream impact of architectural choices and drive cross-team consistency without relying on mandates \n • \n A collaborative communicator with strong design sensibility. You don’t just translate specs; you contribute to visual and interaction decisions and are equally comfortable pairing with a designer on a spec as you are reviewing an engineer's PR \n • \n You use usage analytics, adoption metrics, and research to guide decisions. You take pride in writing migration guides and documentation that are easy to consume, ensuring the system remains high-quality and "AI-ready" for coding assistants \n • \n A deep commitment to web performance. You understand how design system choices impact Core Web Vitals at scale and are driven to ensure loveholidays remains the fastest travel platform in the industry \n • \n You treat accessibility as a core requirement, not a "nice-to-have." You ensure that our component guardrails make it easy for every engineer to build inclusive experiences that open up travel to everyone \n\n Desirable: \n\n • \n Knowledge and understanding of the travel sector or other D2C e-commerce environments \n • \n Experience building design system foundations that supports multi-brand/white-label architecture and internationalisation at scale \n\n The interview journey: \n\n • \n TA screening - 30 mins \n • \n 1st stage interview with the Hiring Manager - 45 mins \n • \n Tech challenge - you can choose between a live and take home option \n • \n Final stage - consisting of discussions around three key areas \n\n Perks of joining us: \n\n • \n Company pension contributions at 5%. \n • \n Individualised training budget for you to learn on the job and level yourself up. \n • \n Discounted holidays for you, your family and friends. \n • \n 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum. \n • \n Ability to buy and sell annual leave. \n • \n Cycle to work scheme, season ticket loan and eye care vouchers. \n\n At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey.

hackajob is collaborating with BNY to connect them with exceptional professionals for this role. \n BNY is seeking Engineers who amplify team impact through technical leadership and force‑multiplier behaviors. In this role, you will elevate those around you by raising engineering standards, accelerating delivery, applying sound technical judgment to complex problems, providing thought leadership and coaching others. You will use AI-enabled capabilities to improve how work gets done, while ensuring what ships is secure, scalable, resilient and truly worth building. \n In this role, you’ll make an impact in the following ways: \n\n • Multiply team impact through hands‑on technical leadership, mentorship, and setting a high engineering bar\n, • Build trust, share credit, and strengthen cross-functional execution\n, • Design and build fit‑for‑purpose architectures that balance simplicity, quality, scale, and security\n, • Simplify systems and workflows by removing friction, toil, and unnecessary handoffs\n, • Create durable reusable patterns, guardrails, and tooling that accelerate team delivery\n, • Quickly ramps-up in new domains, technologies, and problem spaces, adapting as needs evolve\n, • Apply strong engineering fundamentals across software design, data, testing, and distributed systems\n, • Use AI-enabled tools deliberately across design, coding, testing, review, and documentation, while keeping strong human accountability for high‑risk decisions, verification, and final quality\n, • Build software with a reliability‑first mindset, incorporating secure coding practices, observability, testing, and disciplined rollout/rollback strategies\n, • Ensure production systems meet required levels of resiliency, performance, scalability, and operability \n \n\n To be successful in this role, we’re seeking the following: \n\n • Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience; advanced degree a plus.\n, • Extensive professional software development experience, with demonstrated depth in full‑stack engineering and system / application architecture.\n, • Prior experience in securities, financial services, or modern engineering-first organizations is a plus\n, • Strong proficiency in Java, Spring Boot, SQL, and the design of RESTful and streaming‑based APIs.\n, • Hands‑on experience delivering cloud‑native solutions, including microservices, containerization, and modern deployment patterns.\n, • Working knowledge of NoSQL and distributed data stores, selected and applied appropriately at scale.\n, • Experience leveraging AI‑enabled capabilities—including GenAI or ML‑driven services—to enhance developer productivity, system intelligence, or customer outcomes, with a pragmatic understanding of responsible use, scalability, and integration into enterprise platforms.\n\n At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. \n Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role. \n At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. \n If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. \n Skills and Competencies \n\n • Experience and/or exposure in data science, machine learning, or applied artificial intelligence, including experience working on projects or collaborating with data scientists and engineers\n, • Hands-on experience building, training, and evaluating machine learning and deep learning models, including modern architectures such as transformers, with the ability to assess where advanced approaches outperform classical methods and where they do not\n, • Strong programming skills in Python, with practical experience deploying machine learning models and services into production environments\n, • Practical experience using AI coding assistants and agentic developer tools such as Claude Code and OpenAI Codex to accelerate development, testing, and code review, with familiarity across the software development lifecycle and machine learning operations practices\n, • Strong working knowledge of large language models (LLMs), including prompting, fine-tuning, retrieval-augmented generation (RAG), and evaluation techniques, and the ability to apply them to real product challenges\n, • Experience with agentic AI frameworks and libraries in Python, such as AWS Bedrock AgentCore, LangChain/LangGraph, CrewAI, or the OpenAI Agents SDK, with an understanding of agent design patterns including tool use, orchestration, memory, and multi-agent workflows\n, • Ability to own the full model-development lifecycle, including problem framing, data exploration, solution design, estimation, validation, deployment, and ongoing monitoring\n, • Ability to explain, present, and demonstrate complex modeling work clearly to senior leaders, cross-functional partners, and non-technical stakeholders\n, • Working knowledge of cloud-based data and machine learning platforms such as AWS, Azure, GCP, and Databricks, as well as the broader ecosystem used to build and deploy AI and ML products\n, • Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization.\n\n Education \n\n • Degree in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a related quantitative field is required; a Master's or Ph.D. in a related discipline is preferred, but not required\n\n Responsibilities \n Lead the design, development, and delivery of innovative AI, ML, and GenAI solutions that create meaningful value for clients and advance product capabilities across the Corporate and Governments business. \n\n • Lead the end-to-end design, development, and deployment of machine learning, AI, and GenAI solutions that enhance existing products and enable new client-facing capabilities\n, • Partner with product, engineering, and business stakeholders across the Corporate and Governments business to translate client needs and market opportunities into well-scoped data science initiatives\n, • Own model selection, experimentation, and validation end-to-end, ensuring solutions are accurate, scalable, compliant with applicable regulations and legal frameworks, and production-ready\n, • Identify opportunities for automation and model-based enhancement, applying machine learning and deep learning methods to improve accuracy, efficiency, and overall performance\n, • Foster best practices in coding, experimentation, machine learning operations, and software engineering excellence\n, • Drive responsible AI practices across the team, including risk management, model governance, and the ethical use of AI and machine learning techniques\n, • Communicate technical work clearly and concisely, ensuring insights, limitations, and implications are understood by a broad range of stakeholders, including senior leaders\n\n About the Team \n Our Data Science, Machine Learning & Engineering (DSMLE) team, part of the broader Corporate and Governments (C&G) Data Team, is responsible for designing, building, and enhancing products through AI, machine learning, and generative AI solutions that deliver innovation and value to clients. By joining the team, you will work at the forefront of applied AI and GenAI, translating advanced techniques into client-facing products, collaborating with a global cross-functional data organization, and helping shape a growing practice focused on the responsible, ethical, and impactful use of artificial intelligence. \n #LI-Hybrid \n Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. \n Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

hackajob is collaborating with Version 1 to connect them with exceptional professionals for this role. \n Company Description \n Version 1 has celebrated over 26 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. We’re also an award-winning employer reflecting how employees are at the heart of Version 1. \n We’ve been awarded: Innovation Partner of the Year Winner 2023 Oracle EMEA Partner Awards, Global Microsoft Modernising Applications Partner of the Year Award 2023, AWS Collaboration Partner of the Year - EMEA 2023 and Best Workplaces for Women by Great Place To Work in UK and Ireland 2023. \n As a consultancy and service provider, Version 1 is a digital-first environment and we do things differently. We’re focused on our core values; using these we’ve seen significant growth across our practices and our Digital, Data and Cloud team is preparing for the next phase of expansion. This creates new opportunities for driven and skilled individuals to join one of the fastest-growing consultancies globally. \n Job Description \n We are seeking an experienced Senior Full Stack Java Developer to join our UK Digital & Cloud Practice. Our Digital Practice is expanding rapidly and there will be an opportunity for you to achieve medium and long-term career goals. As well as fantastic growth opportunities there is the opportunity to work on some really challenging and interesting, large scale transformational and migration projects within both public and private sector. \n\n • Designing, developing, testing and maintaining cloud-based software applications.\n, • Technical leadership within a team to coordinate and deliver scalable, secure solutions in line with good industry software engineering practices (code quality, CI/CD, security etc).\n, • Working within a project management/agile delivery methodology\n, • Experience in technical ownership for a product or software solution, covering design, estimation, shaping and user story/requirement creation\n, • Documentation of solutions (e.g. architecture, configuration, release, support-handover\n, • Collaborate and liaise with other Version 1 and customer stakeholders/ end users in the software development lifecycle – PMs, BAs, Testing, Product etc\n, • Able to simply and clearly communicate technical designs in conversation, documentation and presentations to stakeholders of various technical abilities.\n, • Provide effective knowledge transfer to team members and customers.\n, • Manage, coach and develop junior members of your team and the wider community\n, • Fostering a positive working environment and facilitating team collaboration and communication.\n\n This role involves working for government clients so all candidates need to either hold SC Clearance or be SC Eligible \n Qualifications \n\n • Deep understanding of coding best practices and modern architectural patterns, including microservices and message-driven architectures\n, • NFR / Non-Functional requirement understanding and experience developing applications with this in mind\n, • Application / Digital Services Design experience\n, • Experience in software engineering practices like Code Reviews, CI/CD Pipelines and SOLID/DRY principals\n, • Hands-on developing / coding role using the following technologies: \n \n, • Frontend (JavaScript/TypeScript or Angular or React or Node)\n, • Backend (Java, SpringBoot, Hibernate, Kotlin)\n \n, • Experience in estimation and sizing\n, • Integration experience\n, • API Design experience\n, • Cloud experience\n, • Appetite to work with emerging AI technologies\n, • SC Eligible\n\n Additional Information \n Why Version 1? \n At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability. \n\n • Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits.\n, • Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme.\n, • Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance.\n, • Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme.\n, • Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies.\n, • Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat.\n, • Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform.\n, • Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes.\n\n And many more exciting benefits… drop us a note to find out more.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Join us to directly influence the future of technology at JPMorganChase. As a Senior DevSecOps Architect, you'll collaborate with top cybersecurity and engineering talent, solving complex challenges and enabling safe, secure innovation. Your passion for security and drive to make a real impact are valued here. Grow your skills in a dynamic environment designed for achievers. Help us build products that prioritize security from the start. \n Job Summary: \n As a Senior DevSecOps Architect in the Cybersecurity & Technology Controls team for International Consumer, you will proactively partner with technology and business colleagues to identify and address security issues. You will embed security culture, lead threat modeling, and drive architecture reviews to ensure our products are secure by design. Your role will be pivotal in managing emerging risks, influencing product strategy, and serving as the subject matter expert for the DevSecOps strategy as well as embedding automated security controls into CI/CD pipelines. You will collaborate globally, supporting audit, regulatory, and risk initiatives, with a focus on cloud computing and emerging technologies. \n Job Responsibilities: \n\n • Pipeline Security Architecture - Design, implement, and continuously improve security architecture for CI/CD pipelines and DevOps toolchains, ensuring automated security checks are embedded at every stage from code commit to production deployment.\n, • Security-as-Code Leadership - Champion Infrastructure as Code (IaC) and Security-as-Code practices, including policy enforcement, security linting, and automated compliance validation across cloud environments.\n, • Threat Modeling & Architecture Reviews - Lead advanced threat modeling (e.g., STRIDE-LM) for pipelines, microservices, and cloud-native applications, and conduct architecture reviews to drive adoption of secure design patterns.\n, • Automated Guardrails at Scale - Design and deploy automated preventive and detective guardrails to proactively reduce risk across CICD pipelines, cloud and SaaS environments.\n, • Security Culture & Enablement - Cultivate a security-first culture across product, technology, and business teams by providing developer-friendly tooling, training, and reusable secure patterns that accelerate rather than hinder delivery.\n, • Risk & Issue Management - Act with urgency to manage emerging security issues, monitor risk indicators, and recommend resolutions. Serve as the escalation point for IT Risk and Cyber domains related to DevSecOps and Change Management.\n, • Stakeholder Partnership - Partner with engineering leads, product owners, and vendors to ensure effective technology risk management, translating regulatory and policy requirements into actionable, engineer-friendly controls.\n, • Audit & Regulatory Support - Support audit, regulatory, and risk activities by providing evidence of control effectiveness and translating compliance requirements into automated, repeatable processes.\n, • Continuous Improvement - Identify and address unfamiliar technology components, share best practices, and influence peers to drive continuous improvement in DevSecOps maturity across the organization.\n\n Required Qualifications, Capabilities, and Skills: \n\n • Advanced threat modeling experience (e.g., STRIDE-LM) for DevOps/CICD Pipelines and toolchains.\n, • Expert ability to advise and influence secure pipeline architecture using Policy-as-Code and automated gates.\n, • Hands-on security expertise in AWS and GCP.\n, • Practical experience creating reference architectures and patterns for engineering teams.\n, • \n Proven ability to design and deploy automated preventive and detective guardrails at scale. \n • Expertise in leveraging IaC scanning to detect misconfigurations and compliance violations across Terraform and Kubernetes manifests\n, • Hands-on experience in integrating a comprehensive DevSecOps tooling stack, including SAST, SCA, RASP, IAST, container and image scanning, secrets detection, and AI-powered DAST solutions\n, • Experience implementing and managing SBOMs to track internal, third-party risk and supply chain security.\n, • Ability to solve design and functionality problems independently.\n, • Strong written and verbal communication skills.\n, • Demonstrated success in influencing peers and stakeholders.\n, • Ability to evaluate and recommend emerging technologies for future state architecture.\n\n Preferred Qualifications, Capabilities, and Skills: \n\n • Shift-Left/Start-Left Evangelism - A proven track record of mentoring developers and fostering a culture where security is a shared responsibility\n, • Relevant certifications: AWS Certified Security - Specialty, GCP Professional Cloud Security Engineer, CISSP, CKS, OSCP.\n, • Experience operating in regulated organizations with a 3LoD model.\n, • Willingness to challenge existing processes respectfully.\n, • Experience translating policy and regulatory requirements into control design for engineers and architects.\n, • Proven ability to upskill and learn modern technologies.\n, • Experience in financial services consumer businesses or Fintech organizations.\n\n #ICBCareers \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n 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 \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n Our 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.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n As a Forward Deployed Engineer (FDE) in the Google Cloud organization, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap. \n It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. \n Minimum qualifications: \n\n • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.\n, • 8 years of experience with software development using Python or similar coding languages.\n, • Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.\n, • Experience taking production-grade AI-driven solutions from conception to launch, and architecting AI systems on cloud platforms (e.g., Google Cloud Platform).\n, • Experience leading technical discovery sessions with customers.\n, • Ability to communicate in French or German fluently as this is a customer-facing role that requires interactions in French or German with local stakeholders.\n\n Preferred qualifications: \n\n • Master’s degree or PhD in AI, Computer Science, or a related technical field.\n, • Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).\n, • Experience in a post-sales or technical consulting delivery function.\n, • Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.\n\n Responsibilities: \n\n • Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI).\n, • Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.\n, • Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.\n, • Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.\n, • Co-build with pre-sales and product teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.\n

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. \n Securing engineering talent in the "agentic era" requires a highly targeted approach that prioritizes capability and technical curiosity. As a Customer Engineer, you will play a pivotal role in supporting the pre-sales lifecycle and technical validation phases. You will act as an early-career "builder-CE" - establishing credibility and excitement by assembling, debugging, and spinning up rapid, real-time prototypes and interactive demos directly for customers. \n In this role, you will partner closely with senior Customer Engineers (CEs) and Sales teams to understand customer environments, map out their technical needs, and showcase the "art of the possible" across the full Google Cloud portfolio. As an AI-savvy professional who is adept at leveraging AI tools, you will address all Platform CE topics across the entire portfolio. Your primary focus is supporting the "technical win" through customer intimacy, architecture advisory and execution. By maintaining a strong builder mindset, you will write clean demo code, troubleshoot API integrations, and help transition projects to post-sales teams to ensure customer workloads are successfully deployed and adopted. \n Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. \n Minimum qualifications: \n\n • Bachelor's degree in Computer Science, a related STEM discipline (e.g., Computer Engineering, Information Systems), or equivalent practical experience.\n, • Experience programming or scripting in any one of the languages (e.g., Python, Go, Java, C++).\n, • Experience working with databases (SQL or NoSQL), web technologies (APIs, HTTP), or cloud infrastructure through coursework, internships, personal projects, or professional experience.\n\n Preferred qualifications: \n\n • Experience participating in hackathons, contributing to open-source projects, or building and deploying personal applications/tools.\n, • Experience working with LLM APIs, prompt engineering, vector databases, or building basic Retrieval-Augmented Generation (RAG) applications or simple conversational agents.\n, • Experience communicating technical concepts clearly to different audiences.\n, • Experience working in collaborative environments (such as team projects, customer service, or technical residency programs) with an ability to adapt quickly to changing customer needs and new technical domains.\n, • Strong debugging skills and familiarity with configuring developer environments (e.g., using Docker or basic Linux command line tools).\n\n Responsibilities: \n\n • Help build creative solutions to challenging customer needs using Google Cloud. Improve product feature offerings by providing customer feedback to internal cross-functional teams including Product Management and Engineering.\n, • Collaborate with customers and other Googlers to manage and drive successful adoption of Google Cloud. Help develop recommendations for solution architectures and consulting services.\n, • Guide customers through the entire innovation lifecycle, building strategic roadmaps and driving achievement of key milestones.\n, • Solve customers' operational issues through problem solving and technical troubleshooting, while working with internal teams to drive resolution. Help customers get answers to product questions.\n, • Learn and adopt the latest AI, machine learning, and cloud technologies. Gather feedback from builders and developers in the field and share insights with Google Cloud Product and Engineering teams to help improve our developer tools.\n

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n At JPMorganChase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact. \n As a Technical Product Manager at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on improving the reliability, resilience, observability, and operability of customer-facing digital banking services. We build automation, define measurable reliability practices, reduce operational friction, and partner with engineering teams to ensure services are designed, delivered, and operated with reliability in mind. \n Job responsibilities \n\n • Support the product strategy and delivery of reliability capabilities, including standards, observability, incident practices, automation, and developer experience improvements.\n, • Partner with engineers, site reliability engineers, and cross-functional teams to understand problems, gather requirements, and translate ideas into clear product work.\n, • Support roadmap planning and prioritisation to align delivery with business goals, engineering needs, and reliability outcomes.\n, • Identify opportunities to improve platform reliability, reduce operational friction, and help teams build and run services confidently.\n, • Use data and feedback, including incident trends, service health metrics, adoption data, and stakeholder input, to guide decisions and measure progress.\n, • Create clear product materials, including problem statements, user stories, acceptance criteria, release notes, and enablement content.\n, • Facilitate Agile delivery ceremonies, including stand-ups, backlog refinement, sprint planning, and retrospectives.\n, • Maintain delivery hygiene by keeping boards healthy, preparing tickets, clarifying scope, tracking dependencies, and escalating issues when needed.\n, • Use approved AI tools to draft and refine user stories, acceptance criteria, feedback summaries, incident learnings, and documentation.\n, • Follow through on actions and help teams move from discussion to delivery.\n\n Required qualifications, capabilities and skills \n\n • Formal training or certification on software engineering concepts and advanced applied experience\n, • Demonstrated ability to work with technical teams and understand how systems, platforms, and services operate.\n, • Ability to discuss technical topics with engineers while explaining concepts clearly to non-technical stakeholders.\n, • Foundational understanding of APIs, microservices, cloud platforms, CI/CD, observability, incident management, or software delivery.\n, • Experience solving ambiguous problems by asking thoughtful questions and breaking work into practical next steps.\n, • Experience using data and feedback to make decisions, including service health metrics, incident patterns, adoption trends, or user feedback.\n, • Strong organisational skills with the ability to manage priorities, dependencies, and follow-ups in a fast-moving environment.\n, • Experience facilitating Agile ceremonies and supporting continuous improvement in planning, execution, and team learning.\n, • Learning mindset with interest in modern engineering practices, platform products, developer experience, and Site Reliability Engineering.\n, • Ability to use AI-assisted ways of working responsibly while maintaining good judgement, confidentiality, and controls.\n\n Preferred qualifications, capabilities and skills \n\n • Experience working on platform, developer experience, reliability, or technical product capabilities.\n, • Experience supporting product adoption, enablement, or change management for engineering teams.\n, • Familiarity with observability, incident management, reliability standards, or operational excellence practices.\n\n #ICBCareers #ICBEngineering \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n 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 \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n Our 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.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n At JPMorganChase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact. \n As a Site Reliability Engineer at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on improving the reliability, resilience, observability, and operability of customer-facing digital banking services. We build automation, define measurable reliability practices, reduce operational friction, and partner with engineering teams to ensure services are designed, delivered, and operated with reliability in mind. \n Job responsibilities \n\n • Drive continuous improvement of reliability, monitoring, and alerting for mission-critical microservices.\n, • Reduce operational toil through automation by building reliable infrastructure and tooling that expedites feature development.\n, • Develop meaningful service metrics, user journeys, service-level indicators, service-level objectives, error budgets, dashboards, and actionable alerts.\n, • Engage with development teams throughout the software lifecycle to design for reliability and scale.\n, • Design and implement self-healing and resiliency patterns, including graceful degradation, rate limiting, circuit breakers, and failover strategies.\n, • Partner across engineering, product, and platform teams to promote reliability standards and adoption.\n, • Execute performance testing and capacity planning to proactively identify and remove bottlenecks.\n, • Participate in feature planning to ensure metrics, alerting, logging, automation, resiliency, capacity, and performance needs are built in from the start.\n, • Use approved AI tools to accelerate root-cause analysis, log and trace investigation, runbook drafting, post-incident analysis, test scaffolding, and documentation.\n, • Continuously develop AI skills relevant to the role, including effective prompting, output validation, automation workflows, and safe usage patterns.\n\n Required qualifications, capabilities and skills \n\n • Formal training or certification on software engineering concepts and advanced applied experience\n, • Proven experience as a software engineer, including proficiency in at least one programming language such as Python, Go, or Java.\n, • Demonstrated experience designing, coding, testing, and delivering software in at least one technology stack.\n, • Strong debugging and troubleshooting skills across distributed systems.\n, • Demonstrated experience as a Site Reliability Engineer or Site Reliability Engineer supporting production services.\n, • Working knowledge of microservice infrastructure components, including service discovery, ingress, networking, and load balancing.\n, • Experience with Kubernetes.\n, • Experience with cloud computing services.\n, • Familiarity with common observability and reliability toolchains such as Grafana, Prometheus, Elasticsearch, Kibana, or Jaeger.\n, • Ability to use AI-assisted engineering tools responsibly, including validating outputs, understanding failure modes, and applying secure handling of sensitive information.\n\n Preferred qualifications, capabilities and skills \n\n • Experience with AWS.\n, • Experience building internal tooling for reliability, including command-line tools, automation pipelines, operators, or controllers.\n, • Experience improving developer experience through golden paths, paved roads, templates, or reusable engineering patterns.\n, • \n Experience applying AI to operational workflows such as alert enrichment, summarisation, runbook generation, or anomaly triage using approved tools and patterns. \n\n #ICBCareers #ICBEngineering \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n 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 \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. \n In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development. \n One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. \n Minimum qualifications: \n\n • Bachelor's degree or equivalent practical experience.\n, • 5 years of experience in product management or related technical role.\n, • 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).\n, • Experience with Android or iOS mobile application development.\n, • Experience defining and delivering developer tools.\n\n Preferred qualifications: \n\n • Master's degree in a technology or business related field.\n, • 3 years of experience in a business function or role (e.g., marketing, business operations, consulting).\n, • 3 years of experience in a role preparing and delivering technical presentations to executive leadership.\n, • 2 years of experience in software development or engineering.\n, • 2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.\n\n Responsibilities: \n\n • Own and drive product goal, developer journeys and product roadmap for App Performance, driving projects to evolve our performance story such as AI driven insights.\n, • Be a daily user of the tools you own to build Android apps, building empathy and providing feedback.\n, • Partner with other cross-functional teams working on performance and work collaboratively with engineering, marketing, legal, UX, DevRel.\n, • Evolve our performance story for new agentic development patterns.\n, • Develop solutions to problems by collaborating as needed across regions, product areas, and functions.\n

hackajob is collaborating with AND Digital to connect them with exceptional professionals for this role. \n Description \n Role Profile: AWS Connect Developer \n Duration: 12 Months+ \n Who We Are: \n AND Digital are a tech company focused on accelerating digital delivery and dedicated to closing the digital skills gap. We’ve been helping organisations build better digital products and stronger digital teams since 2014. \n We believe our work should always leave a legacy for the client. We do this through close relationships with our offices (or ‘Clubs’) so that our partners are always prioritized by a regional team close to them. \n This unique model has driven success for our clients and ourselves, evidenced by our remarkable organic growth since 2014. Today we number more than 1,500 people with Clubs all over the UK and Europe with plans for global expansion in the next couple of years. \n Join us - and help us fulfil our mission to close the world’s digital skills gap. \n Role Overview \n We are seeking an experienced AWS Connect Developer to design, develop, configure, integrate, and support solutions built on Amazon Connect. The role requires strong hands-on experience across contact-centre functionality, customer journeys, Cases, Tasks, Contact Flows, routing, integrations, APIs, and AWS services. \n The successful candidate will be comfortable translating business and customer-service requirements into scalable Amazon Connect solutions and working across development, testing, deployment, and production support. \n Core AWS Connect Experience \n The candidate should have strong practical experience with: \n\n • Amazon Connect architecture, configuration, and administration.\n, • Contact Flows and modular/reusable flow design.\n, • Queues, routing profiles, agents, users, security profiles, and hours of operation.\n, • Contact Centre voice and telephony configuration.\n, • IVR and self-service customer journeys.\n, • Inbound and outbound contact handling.\n, • Customer Profiles and customer data integration.\n, • Contact Trace Records (CTRs) and contact history.\n, • Call recording, monitoring, quality management, and reporting.\n, • Contact Lens and conversational analytics where required.\n, • Prompts, audio, text-to-speech, and speech recognition.\n, • Lambda integrations within Contact Flows.\n, • Amazon Connect APIs and SDKs.\n, • Event-driven integrations using AWS services.\n, • Troubleshooting and performance optimisation of Connect solutions.\n\n Amazon Connect Cases \n Hands-on experience with Amazon Connect Cases is required or strongly preferred. \n The developer should be able to: \n\n • Design case-management journeys around customer interactions.\n, • Configure case templates, fields, statuses, and workflows.\n, • Understand the relationship between contacts, customers, and cases.\n, • Create and update cases through Amazon Connect functionality and APIs.\n, • Integrate Cases with external CRM, case-management, or customer-service platforms.\n, • Design Contact Flows that create, retrieve, update, or associate cases where appropriate.\n, • Support agent workflows involving multiple contacts against a single customer case.\n, • Implement appropriate permissions and access controls for case information.\n, • Troubleshoot case creation, retrieval, and integration issues.\n, • Consider reporting, auditability, and operational requirements when designing case solutions.\n\n Amazon Connect Tasks \n Experience with Amazon Connect Tasks should form part of the role. \n Responsibilities may include: \n\n • Designing task-based agent workflows.\n, • Configuring task routing and queues.\n, • Creating follow-up tasks from customer interactions.\n, • Using Tasks for asynchronous customer-service activities.\n, • Integrating Tasks with Lambda, APIs, CRM platforms, and other AWS services.\n, • Designing workflows where a voice/contact interaction creates subsequent agent work.\n, • Managing task priorities, expiry, routing, and agent assignment.\n, • Troubleshooting task-routing and workflow issues.\n, • Using Tasks alongside Cases to create an end-to-end customer-service journey.\n\n Contact Flows and Customer Journeys \n The developer should be highly proficient in Contact Flow development, including: \n\n • Inbound call flows.\n, • Customer authentication.\n, • IVR menus.\n, • Queue and routing logic.\n, • Customer identification and lookup.\n, • Case lookup and creation.\n, • Task creation.\n, • Agent transfer and escalation.\n, • Callback functionality.\n, • Error handling and fallback journeys.\n, • Business-hours and holiday handling.\n, • Customer data collection.\n, • Lambda/API integration.\n, • Dynamic prompts and attributes.\n, • Secure handling of customer information.\n, • Reusable flow modules and maintainable flow architecture.\n\n Testing and Deployment \n The developer will be expected to: \n\n • Produce technical designs and implementation documentation.\n, • Develop solutions in controlled environments.\n, • Create unit and integration tests.\n, • Test Contact Flows and integrations end-to-end.\n, • Support UAT.\n, • Investigate and resolve defects.\n, • Deploy changes through appropriate CI/CD processes.\n, • Maintain version control and release documentation.\n, • Support production releases and rollback procedures.\n\n Essential Experience \n\n • 3+ years of software development/integration experience.\n, • Strong hands-on Amazon Connect development experience.\n, • Strong Contact Flow experience.\n, • Experience with AWS Lambda and AWS APIs.\n, • Experience with REST/API integrations.\n, • Experience with Amazon Connect Cases.\n, • Experience with Amazon Connect Tasks.\n, • Experience integrating Amazon Connect with external systems.\n, • Experience troubleshooting production contact-centre environments.\n, • Understanding of AWS IAM, security, logging, and monitoring.\n, • Experience with Git and modern development practices.\n\n Equal Opportunities Statement: \n At AND Digital we embrace diversity and are committed to equal opportunities. We are actively recruiting for a diverse and inclusive workforce so want to ensure we do everything we can to support your application. \n We want you to feel safe and empowered to let us know if you require any adjustments to be made to your application or interview process so please speak to our recruitment team. \n AI Statement \n We champion tech that helps people work smarter, but we want to get to know you! If you use AI to assist with your application or interview prep, please ensure all information submitted remains an accurate, truthful representation of your personal achievements and capabilities rather than generating false or misleading information. We may reject applications where AI is used inappropriately at any stage of the recruitment process.

Our client, a pioneering technology company in the AI sector, is seeking a talented GTM Engineer to join their dynamic team in London. This is a permanent role requiring a presence in the office four days a week. The successful candidate will report directly to the founders.Key Responsibilities:Build and maintain an accurate and detailed picture of the UK agency market.Automate sourcing, enrichment, deduplication, and scoring of leads.Develop systems to automate sales administration tasks.Create and maintain systems to manage marketing operations, including audience data and channel-level tracking.Ensure the commercial data is accurate, current, and traceable to source.Identify and automate costly manual processes across various business functions.Develop internal tools that the team will adopt, ensuring reliability and effectiveness.Job Requirements:Must Have:Real developer experience, including writing production code in Python, TypeScript, or similar.Proficiency with APIs and data, and the ability to query databases independently.Experience with LLMs and demonstrated ability to build beyond simple prompts.Commercial instinct with a strong understanding of sales and marketing funnels.High ownership and a proactive approach to shipping workable solutions.Ability to identify business issues and translate them into actionable insights.Also Great:Background in technical product management, technical sales engineering, or growth engineering.Experience with modern go-to-market tools such as CRM automation and enrichment platforms.Experience in B2B SaaS, particularly within property or similar vertical markets.Benefits:Opportunity to build tools that drive the company's market success.Work closely with company founders, contributing directly to growth strategies.Room for professional growth, either deeper into growth engineering or broader into automation across the company.Competitive salary and equity packages available.If you are a highly skilled GTM Engineer with a passion for building systems that drive business success, we would love to hear from you. Apply now to join our client's innovative and forward-thinking team in London.TPBN1_UKTJ

Some key info for you about Liberis: ð We were founded in 2007ð We have provided over $3bn of funding to small businesses so farð We have been named in CNBC & Statista Top 150 UK Fintechs for 2025ð We're a global team, with a dynamic presence in 6 key locations around the worldð§ We're a thriving community of over 290 innovative mindsðð¾ ð ðð¼ We're a vibrant melting pot, celebrating over 27 nationalities in our teamð Our team brings experience from over 740 previous companies, from startups to global giantsð We have just been named as one of FinTech’s Finest 50 by Welcome to the Jungleðª We’re proud to be an accredited Real Living Wage employer, ensuring everyone is paid fairly for the great work they do!Our Product & Engineering Team:Liberis is building the embedded finance platform that lets partners around the world offer innovative funding products to their small business customers. We're a growth-stage fintech with teams in London, Nottingham, Atlanta, Stockholm, Munich and Mumbai, and we’re building a global Product, Data & Engineering team that thrives on autonomy, ownership, and is focused on impact! Our teams solve real-world problems for small businesses, shaping products that unlock opportunity at scale. Engineering is going through an AI-first transformation, rethinking how teams are structured and how they ship. It's changing what a small team can do! We empower our teams to make decisions, move fast, and take full responsibility for the solutions they deliver. You’ll join a team where curiosity is encouraged and collaboration across Product, Data, Delivery and Engineering is the norm.About our Data & Insights Team:We exist to build the data platforms and analytics that enable every decision at Liberis to be data-informed—and increasingly, to power AI and ML capabilities across the company!We're building composable, reliable data platforms that scale—from ingesting partner transaction data and event streams, to powering analytics dashboards, to feeding ML models with real-time features. We're also supporting the AI/ML platform team with reliable, low-latency feature pipelines and model serving infrastructure.We're collaborative, pragmatic, and we value moving fast by fixing the right problems—not over-engineering, but building to last!The team is made up of three functions:Data Platform Engineering: Building and scaling ELT pipelines, managing data infrastructure on GCP, and creating the foundation for analytics and ML feature stores. You'll be part of a small, high-performing team of platform engineers focused on reliability, scale, and developer velocity.Analytics Engineering: Transform raw data into trusted models using DBT and SQL, powering self-serve analytics and business intelligence for stakeholders across the company.Data & Business Intelligence: Build dashboards, partner-facing reports, and insights that drive business decisions and revenue outcomes.What you'll get to do in the role:Design, build, and maintain resilient data pipelines that ingest data from Azure SQL, SaaS platforms, and event streams into BigQuery.Write Python code using DLT to define declarative, testable, version-controlled pipelines - no low-code tools, real engineering.Build and operate ML feature pipelines - low-latency, real-time data streams that feed ML models with accurate, fresh features.Own the operational health of systems you build - monitoring, alerting, error handling, and incident response. When the data pipeline goes down, merchant credit decisions and ML model predictions suffer.Collaborate with analytics engineers to understand data needs, validate schema design, and establish data quality standards that both analytics and ML rely on.Partner with the AI/ML platform team to design feature stores, streaming feature infrastructure, and model serving pipelines that power Liberis' decisioning engine.Identify and execute optimisation work - improving performance, reliability, and developer velocity without rearchitecting stable systems.Mentor junior engineers, helping them grow as engineers and supporting their career development.Participate in technical decisions about platform direction - infrastructure choices, tooling, architecture trade-offs.Work cross-functionally with product teams, analytics engineers, BI specialists, and the ML platform team to shape data requirements and platform capabilities.What we think you'll need:Proven experience within data engineering roles -building and operating data pipelines at scaleHands-on experience building Modern Data Stack architectures - you understand the layers: ingestion, warehouse, transformation, orchestration, reverse ETL. You've worked with tools like DLT/Fivetran/Airbyte (ingestion), BigQuery/Snowflake/Redshift (warehouse), DBT (transformation), Airflow/similar (orchestration).Strong Python programming - you write clean, testable, maintainable code with solid error handling and logging.Fluent SQL - you can write complex queries, understand execution plans, and optimize for performance and cost.Experience with cloud data platforms - you've built data warehouses in BigQuery, Redshift, Snowflake, or similar; you understand distributed processing, partitioning, cost optimization, and data governance.Experience with infrastructure-as-code tools (Terraform, CloudFormation, Pulumi) or equivalent - you version control infrastructure and deploy it via CI/CD pipelines.Experience working in fast-moving environments where requirements evolve and you adapt quickly without losing sight of reliability.Understanding of DevOps principles - you think in terms of observability, resilience, incident response, and operational excellence. You can set up monitoring and alerting that actually matters.Bonus points if you have: Experience with DLT or similar declarative ELT frameworks; experience with Google Cloud Platform ecosystem (BigQuery, Cloud Run, Pub/Sub, Dataflow); experience with Kafka, Pub/Sub, or event streaming platforms; experience scaling data systems from 0 to 100M+ events/day; experience implementing data quality frameworks (Great Expectations, dbt tests, custom monitoring); background in fintech or high-stakes data reliability environments where data quality directly impacts revenue.Experience working with distributed, asynchronous teams across timezones; experience in India tech ecosystem or building in resource-constrained environments; experience migrating from legacy data infrastructure (Azure ADF, traditional ETL) to modern cloud-native stacks.Career development is really important to us here at Liberis, with progression opportunities for both individual contributors and people managers. You can have a look through our Engineering Career Framework via this link Our hybrid approachWorking together in person helps us move faster, collaborate better, and build a great Liberis culture. Our hybrid working policy requires team members to be in the office at least 3 days a week. At Liberis, we embrace flexibility as a core part of our culture, while also valuing the importance of the time our teams spend together in the office.#LI-FC1

About this role Wells Fargo is seeking a Principal Engineer in Corporate and Investment Banking to serve as a senior technical authority for AI solutions. This role defines architecture, design, engineering standards, and delivery patterns for secure, resilient, and governed agentic AI systems. In this role you will Serve as a senior technical authority for AI engineering strategy, architecture, and implementation across complex, multi-domain initiatives. Design, build and guide enterprise-grade AI systems including RAG platforms, agentic workflows, chat experiences, orchestration layers, evaluation pipelines, and reusable AI services. Establish scalable, secure, and compliant architecture patterns for Agentic solutions using industry standard frameworks. Provide hands-on technical leadership across MCP, Python, TypeScript, React, APIs, OpenShift, Kubernetes, and CI/CD engineering practices. Build AI solutions including Agents, chatbots, RAG & Knowledge platforms, Skill based agents, workflow automation, and AI-enabled developer experiences Define engineering standards for prompt engineering, skill engineering, model evaluation, observability, guardrails, red teaming, hallucination detection, and responsible AI adoption. Partner with engineering leads, product owners, cybersecurity, governance, risk, platform, and UI/UX teams to align technical direction with strategic business outcomes. Mentor senior engineers and technical leads, raising engineering quality through architecture reviews, code reviews, reusable patterns, technical coaching, and design governance. Resolve the most complex technical challenges across AI pipelines, model integrations, infrastructure, application resiliency, security controls, and production operations. Key Responsibilities Architecture & Technical Strategy Define target-state architecture, reusable design patterns, and technical standards for AI systems. Guide architecture decisions across model integration, retrieval design, orchestration, workflow automation, security, observability, and application experience layers. Evaluate emerging AI technologies and translate them into practical, governed, production-ready engineering patterns. Engineering Excellence Lead proof-of-concepts, design reviews, code reviews, and technical deep dives for high-impact AI initiatives. Establish best practices for AI applications in coding, API design, testing, deployment automation, runtime monitoring, and operational readiness. Improve developer productivity through reusable libraries, templates, refer ence implementations, and engineering enablement. Governance, Risk & Responsible AI Ensure AI systems are designed with appropriate controls for security, data protection, access management, auditability, and model risk. Define and promote responsible AI practices including evaluation, explainability considerations, fallback behavior, guardrails, and human-in-the-loop review where appropriate. Partner with cybersecurity, governance, compliance, and platform teams to ensure solutions meet enterprise and regulatory expectations. Influence & Technical Leadership Influence cross-team technical decisions and align stakeholders around scalable, secure, and maintainable AI engineering approaches. Mentor senior engineers and engineering leads through technical coaching, architecture guidance, and hands-on problem solving. Communicate technical trade-offs, risks, delivery considerations, and architectural direction to senior leaders and cross-functional partners. Required Qualifications: Experience of Technology Strategic Leadership experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, educationExpert-level hands-on engineering experience with AI development in Python, TypeScript, React, APIs, distributed high-performance systems, and application delivery. Deep experience designing and delivering AI-enabled applications using agentic workflows, LLMs, RAG, model orchestration, embeddings, vector search, and model evaluation techniques. Experience with OpenAI, Anthropic, Google Vertex AI, GitHub Copilot or related AI developer ecosystems. Proven ability to influence technical strategy across teams without relying solely on direct reporting authority. Strong understanding of cybersecurity controls, data privacy, model risk management, governance, and compliance expectations in regulated financial-services environments. In-depth knowledge of industry trends and thought leadership in the development of AI solutions. Desired Qualifications: Experience establishing AI platform capabilities, reference architectures or internal developer frameworks. Experience with vector databases, embeddings, hybrid search, Elasticsearch, Redis, ChromaDB, or similar retrieval technologies. Experience building high-availability banking, capital markets, or other regulated financial applications. Ability to build and communicate complex systems design decisions, trade-offs, risks, and delivery implications to senior technical stakeholders. Job Expectations:This position offers a hybrid work scheduleRelocation assistance is not availableVisa sponsorship is not availablePosting End Date: 26 Sep 2026*Job posting may come down early due to volume of applicants.We Value Equal OpportunityWells Fargo 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, disability, status as a protected veteran, or any other legally protected characteristic.Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.Applicants with DisabilitiesTo request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.Drug and Alcohol PolicyWells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.Wells Fargo Recruitment and Hiring Requirements:a. Third-Party recordings are prohibited unless authorized by Wells Fargo.b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.SummaryLocation: CITY OF LONDON,Type: Full time

WHAT MAKES US, USJoin some of the most innovative thinkers in FinTech as we lead the evolution of financial technology. If you are an innovative, curious, collaborative person who embraces challenges and wants to grow, learn and pursue outcomes with our prestigious financial clients, say Hello to SimCorp!At its foundation, SimCorp is guided by our values — caring, customer success-driven, collaborative, curious, and courageous. Our people-centered organization focuses on skills development, relationship building, and client success. We take pride in cultivating an environment where all team members can grow, feel heard, valued, and empowered.If you like what we’re saying, keep reading!WHY THIS ROLE IS IMPORTANT FOR US:The AI Enablement team is a newly established, cross-functional team within SimCorp that builds organizational capability and accelerates AI adoption across all business functions. We partner with functional leaders to deliver AI literacy programmes, co-build sophisticated AI solutions, manage reusable component libraries, and drive value measurement across the enterprise.As a Lead AI Assets Manager, you will be a key member of SimCorp's newly established AI Enablement team. You will enable the scaling of AI capabilities across SimCorp, by building and managing a catalog of reusable AI components and development assets.WHAT YOU WILL BE RESPONSIBLE FOR:Own the development, curation, and distribution of a centralized catalog of reusable AI components – including prompt libraries, agent templates, skills, workflow blueprints, and integration patterns – to enable efficient scaling of AI across SimCorp.Define and promote standards and governance for reusable assets, ensuring components are well-documented, version-controlled, tested, and fit for purpose across different functional contexts.Collaborate with AI Solution Engineers to identify components built during co-build engagements that have reuse potential, and systematize their productization.Manage the lifecycle of the component catalog: intake, review, tagging, publishing, deprecation, and quality assurance.Act as a technical authority on AI development patterns, advising the team and business functions on best practices for building scalable and maintainable AI solutions.Work with the enterprise AI Foundation area to ensure all catalog components adhere to infrastructure, security, and compliance standards.Monitor usage and impact of catalog components; gather feedback from functions to continuously improve quality and relevance.Contribute to the broader AI Enablement community by sharing knowledge on development approaches, tooling, and emerging best practices.WHAT WE VALUE:Most importantly, you can see yourself contributing and thriving in the position described above. How you gained the skills needed for doing that is less important. We expect you to be good at several of the following and be able to - and interested in - learning the rest.5+ years of experience in software development, AI/ML engineering, or a technical product management role.Practical experience building and deploying AI applications, agents, or automation solutions in an enterprise setting (especially with Claude and Copilot).Strong understanding of LLM-based architectures, prompt engineering, MCP server, retrieval-augmented generation (RAG), and AI agent frameworks.Experience managing technical asset libraries, developer portals, or internal platforms with a focus on reuse and standardization.Solid understanding of software development best practices including versioning, documentation, testing, and lifecycle management.Proficient in Python; experience with APIs, cloud platforms (ideally Microsoft Azure), and enterprise AI tooling.Strong communication skills; able to engage both technical and non-technical stakeholders clearly and effectively.Experience working in agile environments with a pragmatic, builder mentality.Fluent English; additional languages are a plus.Exposure to the investment management or financial services industry is beneficial.NEXT STEPS: Please send us your application in English via our career site as soon as possible, we process incoming applications continually. Please note that only applications sent through our system will be processed. At SimCorp, we recognize that bias can unintentionally occur in the recruitment process. To uphold fairness and equal opportunities for all applicants, we kindly ask you to exclude personal data such as photo, age, or any non-professional information from your application. Thank you for aiding us in our endeavor to mitigate biases in our recruitment process. If you are interested in being a part of SimCorp but are not sure this role is suitable, submit your CV anyway. SimCorp is on an exciting growth journey, and our Talent Acquisition Team is ready to assist you discover the right role for you. The approximate time to consider your CV is three weeks. We are eager to continually improve our talent acquisition process and make everyone’s experience positive and valuable. Therefore, during the process we will ask you to provide your feedback, which is highly appreciated. #Li-hybrid SummaryLocation: Bad Homburg; London; Warsaw; Vienna; CopenhagenType: Full time

Salary Range:57,050.00 - 105,950.00Job Description Summary#LI-Hybrid Location: London, UK - remote working will be considered This role is based in London, UK. Novartis is unable to offer relocation support for this role. Please only apply if this location is accessible for you. 100,000+ unique, curious, and empowered individuals inspired by our purpose.This role will work as part of an interdisciplinary team to develop solutions and tools that enable study teams working on analyses and reporting activities in clinical trials. They will work across the clinical reporting lifecycle gain an appreciation of the user experience today and work with Product Owners to deliver progress in high impact areas. Additionally, this role will focus on enabling the use of open-source programming languages and tooling.Job DescriptionMajor accountabilities:Develop and maintain R packages that enable clinical trial team through supporting data engineering, statistical analyses, automation, and reporting workflows.Design, build and deploy Shiny applications for interactive dashboards and data exploration tools.Collaborate with statistical programmers and statisticians, and clinical reporting teams to understand requirements and translate them into efficient, reproducible code and tools.Apply AI responsibly to support product design and development focusing on reliable, explainable, and impactful use in development workflows and solutions.Drive the rollout of tooling through demos, pilots, training and support.Engagement in the user experience of our users to identify and drive opportunities for continuous improvement and modernization.Role model best practices for data science and software development.Documentation of tools and processes to support modernization in an inclusive manner.Appetite to engage in open-source communities to collaborate in external settings.Minimum requirement:MSc in a quantitative / computational science or eqivalentExperience as an R developerDeep knowledge of data manipulation (tidyverse) and data visualization (ggplot2, plotly).Demonstrated ability to develop production-grade R packages, including comprehensive documentation and rigorous testing frameworks.Hands on experience deploying and maintaining R applications in production environments.Highly proficient in Shiny app development and deployment.Deep experience in software development best practices (virtual environments, git, CI/CD, code review etc.)Hands on experience applying AI and agentic approaches to improve developer productivity of data-driven applicationsSolution-oriented mindset with a collaborative spiritGood written EnglishDesirable requirements:Good understanding of drug development processHigh level understanding of the regulatory requirements for computer systems and toolsKnowledge of Quarto, workflow automation, or metadata-driven reporting.Participation in open-source projects within the pharmaceutical sector, such as those associated with R Consortium, pharmaverse, openpharma or openstatware. Benefits & RewardsAt Novartis, we’re committed to reimagining medicine together - and rewarding the people who make it happen.Expected Annual Base Salary Range for role: 57,050.00 -105,950.00 GBP The base salary offered is determined based on gender-neutral objectives, such as relevant skills, competencies and experience in accordance with the Novartis pay setting policy and upon joining Novartis will be reviewed periodically.In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters.The rewards of being part of our team go far beyond base pay and incentives. We also offer a variety of competitive benefits in kind to help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeing resources and global recognition programs. In addition, we provide flexible and hybrid working options, where possible, and minimum 14 weeks paid parental leave.Pay equity is a fundamental principle of our employment policy and reflects our commitment to create a diverse, equitable and inclusive environment that treats all employees with dignity and respect, as outlined in our Code of Ethics.Read our brochure to learn more about our global total rewards offering:Note: Benefits and compensation may vary by country and are subject to local legal requirements, including provisions of collective bargaining agreements where applicable. A full overview of your compensation package, including any relevant collective bargaining agreement details applicable to your role based on your employment location and Novartis employer entity, will be communicated separately to you during the application process.Commitment to Diversity and Inclusion / EEO paragraphNovartis is committed to building an outstanding, inclusive work environment and diverse teams’ representative of the patients and communities we serve.Skills DesiredArtificial Intelligence (AI), Biostatistics, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Logistic Regression Model (Inactive), Machine Learning (ML), Machine Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai (Inactive), Pandas (Python) (Inactive), Python (Programming Language), R Programming, Stakeholder Engagement, Statistical Analysis, Structured Query Language (SQL), Time Series AnalysisSummaryLocation: London (The Westworks); Home WorkerType: Full time

Fitch Group is seeking a Reliability Engineer to join our Cloud Infrastructure and Platform Engineering team. We're looking for someone who is curious about the evolving role of AI in infrastructure engineering, someone who actively explores how AI-assisted tooling, automation, and intelligent observability can raise the bar for reliability and developer experience. You will collaborate closely with global development and engineering teams to deliver reliable, resilient, and high-performing applications and services that drive business value.What We OfferA collaborative environment where your ideas and contributions are valuedClear paths for career growth, including training and certification supportAccess to modern tools and technologies, including emerging AI-powered engineering toolFlexible work arrangements, including remote work optionsWhat You’ll DoCollaborate with globally distributed development teams to design, build, and operate reliable, resilient, and high-performing applications and servicesDesign and manage CI/CD pipelines to optimize build processes and application deployments for reliability, security, and efficiencyIdentify, contain, and mitigate risk across all cloud environments, maintaining a robust security posture for infrastructure and applicationsImplement proactive monitoring and observability practices to detect and prevent issues before they impact usersDevelop and maintain automation and tooling solutions, including AI-assisted approaches to reduce toil and accelerate deliveryUphold infrastructure standards and system design patterns across all cloud environmentsTroubleshoot high-priority incidents and facilitate blameless post-mortemsEvaluate and adopt emerging technologies that advance our secure cloud platform strategyPlan and execute disaster recovery testing to validate business continuity posturePromote cost-conscious design and facilitate knowledge sharing across multidisciplinary teamsParticipate in on-call rotationWhat You’ll Need5+ years of experience with AWS services such as VPC, EC2, ECS, EKS, ELB, S3, RDS, etc.5+ years of experience with containerization and orchestration such as Docker and KubernetesStrong knowledge with a scripting language, such as Python, Go, or PowerShellExperience with modern application development practices such as CI/CD pipelinesExperience with Infrastructure as Code and GitOps tools such as Terraform and ArgoCDAbility to clearly communicate complex technical and business concepts to team membersExcellent interpersonal and communication skills with the ability to effectively collaborate with multiple teams and build strong partnerships across a variety of internal and external constituenciesExcellent analytical and problem solving skills Bachelor’s Degree or equivalent in a technology related field preferred (e.g., Computer Science, Engineering, etc.) Nice to HaveForward thinking and strategic mindset to be able to recognize and connect patterns to both enhance and simplify cloud-based developmentHands-on experience with GitOps for declarative, automated application delivery on AWS EKS, driving self-service deployments and reduced operational toilA security first mindset along with practical experience building secure applications in the cloudPractical experience building scalable cloud platforms for a large enterprise with a key drive towards developer velocity, autonomy, and automationUnderstanding of project management tools, techniques, and methodologies such as AgileWhy Fitch?At Fitch Group, the combined power of our global perspectives is what differentiates us. Our global network of colleagues comes together to accomplish things greater than they ever could alone. Every team member is essential to our business and each perspective is critical to our success. We embrace a diverse culture that encourages a free exchange of ideas, guaranteeing your voice will be heard and your work will have an impact, regardless of seniority.We are building incredible things at Fitch and we invite you to join us on our journey.Fitch Group is a global leader in financial information services with operations in more than 30 countries. Wholly owned by the Hearst Corporation, we are comprised of three main businesses: Fitch Ratings | Fitch Solutions | Fitch Learning.For more information, please visit our websites: | | Fitch is committed to providing global securities markets with objective, timely, independent, and forward-looking credit opinions. To protect Fitch’s credibility and reputation, our employees must take every precaution to avoid conflicts of interests or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work.Fitch Group is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.Actual salaries will be determined on an individualized basis and may vary based on factors including but not limited to education, training, experience, past performance, and other job-related factors. Base pay is one part of Fitch’s total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, long-term incentives, and other benefits sponsored by Fitch.

Company DescriptionWe’reCheckout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.Checkout.com is actively looking for an enthusiastic and talented Strategic Accounts, Business Developer to join us as we accelerate our Enterprise development of Global Accounts from our offices in London. This is a fantastic opportunity to play a fundamental role in our rapid growth as we revolutionise merchant experience and continue to set ourselves apart from the rest when managing our largest and most strategic accounts worldwide.If you are a motivated and focused individual, with high attention to detail and a relentless drive for growth and excellence, this is the role for you. We are looking for a self-starter who thrives in a fast-paced and competitive environment and is excited about joining us at this pivotal point in our journey.This role will be part of our Strategic Accounts team and sits within our Commercial department. You will have the opportunity to work cross-functionally with teams across Sales, Enablement, Product, Marketing, Solutions Engineering and more.The ideal candidate approaches enterprise business development and intelligence in an analytical manner, is data-driven, and is a creative problem-solverWhat you will do:Develop and own the strategic account plans and end-to-end deal progression strategy for a portfolio of key prospects in collaboration with Enterprise Sales Representatives.Serve as the internal Methodology expert and trusted advisor on the key strategic accounts, including their industry, market trends, and critical business challenges.Conduct in-depth market and account analysis (organisational structure, strategic priorities, competitive landscape) to generate actionable insights that accelerate sales cycles and inform business strategy.Proactively leverage AI-driven systems (e.g., Salesforce, 6Sense, proprietary tools) and advanced analytics to optimise lead generation, strategic planning, and pipeline accuracy.Work closely with Sales in nurturing, developing, and deepening relationships with existing and prospective merchants.Influence cross-functional teams of stakeholders (including Product, Solutions Engineering, and Legal) to ensure an aligned team effort when dealing and onboarding with key merchants.Assist senior leadership in shaping tailored solutions and product offerings for each merchant.Collaborate daily with our engagement team to ensure a strong understanding and alignment across the entire sales cycle.About You:Relevant experience in Enterprise Sales Development, Strategic Account Management, or Consultative B2B Sales, preferably in payments, fintech, banking, or financial services.Proven ability to build and sustain deep, multi-threaded relationships with multiple stakeholders up to the C-suite level within a large enterprise environment.Demonstrated analytical and problem-solving skills, with experience using data/CRM (e.g., Salesforce) for account mapping, opportunity identification, and accurate forecasting.Exceptional written and verbal communication and presentation skills, with the ability to articulate complex financial/technical value propositions to senior stakeholders.Highly organised and able to prioritise shifting workloads and responsibilities effectively.Eager to understand and navigate long sales cycles.Commercially minded and possesses a deep understanding of issues large accounts are facing.AI savvy user of enterprise tools and technologies.Fluent in English (other languages are a plus)Additional InformationBring all of you to workWe create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.Life at Checkout.comWe understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.Curious about what it’s like to be part of our team? Visit ourCareers Page to learn more about our culture, open roles, and what drives us.For a closer look at daily life at Checkout.com, follow us on LinkedIn and InstagramLocationLondonEmployment TypeFull timeLocation TypeOn-siteDepartmentAll Departments

Who Are WeHansen (ASX: HSN) is a global provider of software and services to the communications, media, energy, and utilities industries. Supporting more than 600 customers across 80+ countries, our platforms power critical business processes—from customer engagement and revenue management to product innovation and service delivery.Today, the software industry is entering its next major evolution. AI is fundamentally changing how software is designed, developed, tested, and operated. At Hansen, we are embracing that shift and investing in the transformation from traditional software engineering to AI-first engineering.This role sits at the centre of that journey.Why This Role MattersTransform Engineering. Shape the Future. Build the AI-Native Software Organization.As our AI-First Engineering Transformation Lead, you'll be responsible for helping Hansen redefine how software is built across our Communications & Media portfolio. Working closely with the Office of the CTO, engineering leaders, architects, and development teams, you'll drive the transition from traditional development practices toward AI-native engineering workflows.We're looking for someone who combines deep technical credibility with the ability to lead organizational change. You'll operate as a player-coach, working directly with engineering teams while influencing leaders across the organization to adopt new ways of working.Your impact will be measurable through improved developer productivity, faster delivery cycles, higher software quality, and the successful adoption of AI-powered engineering practices across Hansen.What You'll DoLead Hansen's AI-First Engineering TransformationDrive the evolution from traditional SDLC practices to AI-first software developmentDefine and implement scalable AI-enabled engineering workflows and operating modelsEstablish repeatable patterns for AI-assisted and AI-native software developmentPartner with engineering leadership to embed AI into everyday engineering practicesWork Hands-On with Engineering TeamsOperate as a player-coach alongside developers, architects, and technical leadersImplement and optimize tools such as GitHub Copilot Enterprise, Claude Code, and emerging AI engineering platformsBuild reference implementations, prototypes, and proof-of-concepts that showcase best practicesIdentify opportunities to automate engineering activities across the software lifecycleAccelerate AI Adoption Across the OrganisationFoster an AI-first mindset within engineering teamsCoach engineers on the transition from AI-assisted development to AI-native engineeringCreate training programs, playbooks, frameworks, and enablement materialsAct as a trusted advisor to engineering leaders and teams throughout the transformation journeyEstablish Engineering Standards & GovernanceDefine engineering guardrails for responsible AI adoptionDevelop best practices around:Code quality and validationSecurity and IP protectionCompliance, auditability, and traceabilityCollaborate with architecture and platform teams to integrate AI capabilities into core engineering ecosystemsMeasure and Scale SuccessDefine and monitor key transformation KPIs, including:AI tool adoption ratesDeveloper productivity improvementsDevelopment cycle time reductionSoftware quality metricsUse measurable outcomes to continuously improve tooling, processes, and ways of workingWhat You BringExperience implementing AI-first or AI-native engineering modelsProven experience leading engineering transformation initiatives at scaleStrong software engineering background with hands-on technical credibilityPractical experience with AI-powered development tools such as GitHub Copilot, Claude Code, Cursor, or similar platformsDeep understanding of modern engineering practices including Agile, DevOps, CI/CD, cloud-native architectures, and platform engineeringExperience driving change, influencing stakeholders, and introducing new engineering ways of workingStrong communication skills with the ability to engage engineers, architects, and executive leadership alikeSolid understanding of large language models (LLMs), AI capabilities, and their practical application within software developmentNice to HaveBackground within enterprise SaaS, OSS/BSS, telecom, media, or large-scale software environmentsExperience developing engineering frameworks, operating models, or transformation programsKnowledge of AI governance, compliance, and secure software development practicesWhat Makes You SuccessfulYou are someone who:Thrives on transforming how teams build softwareLeads through action, not PowerPointCombines strategic thinking with hands-on executionQuestions existing practices and continuously seeks better ways of workingFocuses on outcomes and measurable impactInspires teams to embrace change rather than resist itSees AI not as a tool, but as a new operating model for engineeringWhy Join Hansen?This is a opportunity to help define what AI-first software engineering looks like inside a global technology organisation.Rather than joining an established transformation, you'll help build it!If you're excited by the challenge of combining engineering excellence, AI innovation, and large-scale transformation, we'd love to hear from you.Full timePosting Date: 2026-07-17

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The roleAs a Cloud Site Reliability Engineer at Wayve, you will build and scale the reliability foundations of our AI cloud platform. This includes our Model Development Platform (powering end-to-end model development from raw data to on-road experimentation) and our GPU Compute platform (large-scale, multi-tenant GPU fleets and scheduling systems driving model training and inference at scale).This is a founding Cloud SRE role. You won’t inherit a mature SRE function, you’ll help create it. You will define the frameworks, automation, and operational standards that ensure our model development infrastructure, distributed systems, and large compute clusters operate predictably, efficiently, and at scale.This role sits at the intersection of AI research, large-scale cloud infrastructure, and production operations. Your work will directly enable faster model training, reliable experimentation, and scalable AI deployment by ensuring our cloud infrastructure is resilient and performant.Key responsibilitiesReliability & Platform OwnershipOwn the reliability, availability, and performance of the Model Dev Platform and GPU Compute environments.Define and operationalise SLOs, SLIs, and error budgets across platform services.Improve capacity planning, scaling strategies, and resource efficiency across large GPU-backed clusters.Partner with ML, platform, and software teams to establish clear production readiness standards.Incident Response & On-CallParticipate in a 24/7 on-call rotation as first-line response for cloud and cluster-related incidents.Lead incident triage, escalation, communications, and root cause analysis.Translate post-incident learning into durable architectural or automation improvements.Continuously reduce alert noise and recurring operational burden.Observability & Operational ExcellenceDesign and operate monitoring, logging, tracing, and alerting systems that enable rapid detection and recovery.Build dashboards that reflect real user-centric platform health (not just infrastructure metrics).Improve deployment safety through better change management, validation, and rollback mechanisms.Automation & ToolingBuild automation for cluster operations, training workflows, remediation, and scaling tasks.Implement self-healing patterns and resilient recovery workflows.Harden CI/CD and release processes to improve deployment safety and velocity.Support infrastructure-as-code and policy-driven guardrails to ensure secure, reliable cloud environments.About youIn order to set you up for success as a Cloud Site Reliability Engineer at Wayve, we’re looking for the following skills and experience.Essential skillsProven experience in an SRE, Production Engineer, or Cloud Reliability role supporting large-scale cloud systems.Strong Kubernetes experience, including operating production clusters.Hands-on experience running production workloads in AWS, GCP, or Azure.Experience operating complex distributed systems in production, ideally including compute-heavy or high-performance workloads.Experience working with large compute clusters; exposure to AI/ML training or inference workloads strongly preferred.Strong Linux fundamentals and proficiency in at least one scripting or systems language (e.g. Python, Go, C++) with a bias toward automation.Deep troubleshooting skills across networking, storage, distributed systems, and performance at scale.Experience designing and operating observability stacks (e.g. Datadog, Prometheus, Grafana, OpenTelemetry).Clear communication skills, including leading incidents, writing postmortems, and influencing teams to prioritise reliability improvements.Desirable skillsExperience operating GPU-backed environments or large-scale ML infrastructure.Experience running model training or inference pipelines in production (MLOps).Familiarity with infrastructure-as-code (e.g. Terraform) and secure cloud production environments.Experience defining and running SLOs/SLIs and building reliability programs across multiple teams.Experience as an early or founding SRE hire establishing processes from scratch.Interest in helping shape and grow a Cloud SRE function, with potential to take on leadership responsibilities over time.This is a full-time role based in our office in London (2 days a week in the office). At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to WorkDISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

Meet DeepLDeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human-like translation, improved writing and real-time voice translation.Founded in 2017 by CEO Jaroslaw “Jarek” Kutylowski, DeepL now has around 1,000 passionate employees and is supported by world-renowned investors including Benchmark, IVP, and Index Ventures.Our goal is to become the global leader in trusted, intelligent AI technology, building products that drive better communication, foster connections, and create a meaningful impact. To achieve this, we need talented people like you to join our journey. If you’re ready to shape the future of AI and grow your career in a fast-moving, purpose-driven environment, DeepL is your next destination.What sets us apartWhat sets us apart is our blend of cutting-edge AI technology, meaningful work, and a culture where people truly thrive. We’re a team of innovators, researchers, and creators driven by a shared purpose to unlock human potential by making work simpler, smarter, and more connected.When we share what it’s like to work at DeepL, the reactions are overwhelmingly positive. This might be because of our technology that helps millions of people and businesses communicate and work better every day, or because of the trust, curiosity, and care that shape our culture.What we know for sure is this: being part of DeepL means joining a team dedicated to innovation, growth, and well-being. Discover more about life at DeepL onLinkedIn,Instagram, and our Blog.Meet the team behind this journeyDeepL is not just a translation tool; we are building the Operating System for Global Communication. We are the rare AI company that builds the entire stack in-house: from training next-gen LLMs on our own NVIDIA DGX SuperPODs to delivering real-time Language AI to over 300 million users and 200,000+ businesses globally.We are shifting gears. We are moving from "Software-First" to "Product-First." We don't hire engineers to just close tickets or optimize algorithms in isolation. We hire Missionaries—builders who obsess over the Why before the How.The decisions behind every model improvement, every product launch, and every business milestone run on data. The Data Platform team is the engineering foundation that makes that possible.We build and operate the infrastructure that the entire company relies on to work with data effectively — ingestion infrastructure, a reliable lakehouse, the tooling that data engineers build on top of, and increasingly, AI-powered interfaces (MCP connectors, workflow skills, and integrations) that bring data directly into how people and AI agents get work done across DeepL. Our customers aren't just data teams; they're the whole company.We're looking for engineers who care as much about the experience of the people who use their systems as they do about the quality of the systems themselves, who take responsibility from architecture to production, and who find meaning in work whose impact compounds quietly across an entire organization. If that resonates, this is your team.Your responsibilitiesBuild and evolve the data platform infrastructure: shape and advance the core infrastructure our data ecosystem runs on — our Databricks-based lakehouse, Kafka consumers that reliably ingest data at scale, and the foundational layer that data engineers build their workflows on top of. You'll also support and extend tooling like dlt (data load tool) to make ingestion patterns reusable and robust, and make technical decisions that let the platform grow with DeepL's data volume, use-case diversity, and scaleEnable AI-powered data workflows: build the connectors, interfaces, and integrations that bring data into the hands of humans and AI agents alike, including MCP connectors and workflow skills that let the rest of DeepL access and work with data in AI-assisted workflows. Design for the full range of users — data engineers, analysts, business teams, and the AI tools they use every dayMake data trustworthy at scale: build the systems that make data reliable, not just available. Implement data observability, quality frameworks, monitoring and alerting that give every data consumer confidence in what they work with, and give the team visibility to catch problems before they become incidentsSteward infrastructure, developer experience, and governance: take responsibility for how the platform is built and operated — infrastructure-as-code (Terraform/Terragrunt), CI/CD for data workflows, access management, security configurations, audit trails, and spend governance. Build the golden-path templates and patterns that make it fast and safe for engineers across the company to get value from dataQualities we look forMust-haveCloud data infrastructure experience — solid, hands-on experience building and operating cloud-based data infrastructure; comfortable with infrastructure-as-code (Terraform/Terragrunt), CI/CD for data workflows, and container technologies (Docker/Kubernetes)Python proficiency — writes production-quality Python code. Python is our primary language on the Data Platform; familiarity with Go or Java is a plus but not requiredReliability and operational excellence — brings a reliability mindset to data: builds for observability, writes meaningful alerts, owns systems in production, and turns incidents into durable improvementsA platform-product mindset — treats the engineers, analysts, and teams who build on the platform as primary users; thinks deeply about developer experience and reduces friction proactivelyExpectedClear, cross-functional communication — communicates effectively across different audiences, actively seeks feedback from data consumers, and uses that input to improve the platformAI-native velocity — actively uses AI-powered tools to move faster and take on harder problems, freeing focus for the decisions that matter: architecture, system design, and the tradeoffs that determine whether a platform scales gracefullyNice-to-haveLakehouse and streaming technologies — experience with Databricks, Apache Iceberg, Kafka, or similar is a strong advantageWhat we offerDiverse and internationally distributed team: joining our team means becoming part of a large, global community with people of more than 90 nationalities. We're more than just colleagues; we're a group of professionals with a shared mission to connect diverse cultures. Our global presence is growing–we've doubled in size nearly every year, with our employees based in the UK, Germany, the Netherlands, Poland, the US, and Japan, and we continue to expand our network.Open communication, regular feedback: as a language-focused company, we value the importance of clear, honest communication. We value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and growth mindset makes us better together.Hybrid work, flexible hours: we offer a hybrid work schedule, with team members coming into the office twice a week. This allows you to engage directly with your team and experience the unique energy of our workspace, while still enjoying the flexibility and comfort of working from home. With flexible working hours and trust in your productivity, we are in sync with your team’s general locations and time zones to foster effective and seamless collaboration.Virtual Shares - An ownership mindset in every role. We believe everyone should share in our success, and that’s why every employee receives Virtual Shares, linking your contribution directly to DeepL’s growth and rewarding you with a stake in our future.Regular in-person team events: we bond over vibrant events that are as unique as our team, from local team and business unit gatherings, to new-joiner onboardings, to company-wide events that bring us all together–literally.Monthly full-day hacking sessions: every month, we have Hack Fridays, where you can spend your time diving into a project you're passionate about and get the opportunity to work with other teams–we value your initiatives, impact, and creativity.30 days of annual leave: we value your peace of mind. With 30 days off (excluding public holidays) and access to mental health resources, we make sure you're as strong mentally as you are professionally.Competitive benefits: just as our team spans the globe, so does our benefits package. We've crafted it to reflect the diversity of our team and tailored it to align with your unique location, to ensure you feel supported every step of the way.If this role and our mission resonate with you, but you're hesitant because you don't check all the boxes, don't let that hold you back. At DeepL, it's all about the value you bring and the growth we can foster together. Go ahead, apply—let's discover your potential together. We can't wait to meet you!#LI-HK1We are an equal opportunity employerYou are welcome at DeepL for who you are - we appreciate authenticity here. Our product is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward! So bring us your personal experience, your perspectives, and your background. It’s in our diversity that we will find the power to break down language barriers in the world.LocationLondonEmployment TypeFull timeLocation TypeHybridDepartmentEngineering

We're not here to add to the noise. We're here to cut through it- with AI that actually works for marketers.From AI-powered content creation to world-class CMS and the industry's most trusted experimentation platform, Optimizely is the tool modern marketers actually want to use. AI-Ready. Set. Go.10,000+ brands including H&M, PayPal, and Zoom already get it. So do Gartner, Forrester, and IDC, who consistently recognize us as leaders in MarTech.But here's the thing about building great products: it takes great people. Our 1,600+ Optimizers across 12 global offices are curious, collaborative, and refreshingly human. We don't do corporate speak. We do real conversations, big ideas, and genuinely care for the work we make together.If you want to be part of a team that's shaping the future of marketing technology — and actually enjoys doing it — you're in the right place.Find us on Instagram: @optimizelyLong DescriptionWe're looking for a Senior Software Engineer to join one of our Content Management System (CMS) product teams in the UK, working on a key part of the Optimizely platform.Our CMS is one of the core products in the Optimizely ecosystem. It enables businesses to create, manage, and publish digital content—such as websites, landing pages, and product experiences—across multiple channels. It works alongside other parts of the platform, including experimentation, campaign management, and data services, to support end-to-end digital experience creation and optimization.We offer both PaaS and SaaS versions of our CMS and are continuously evolving it to be more scalable, composable, and developer-friendly. As part of this team, you'll help build and evolve core CMS capabilities while contributing to the long-term direction of the platform.IntroductionAbout the TeamOur team focuses on building extensible CMS capabilities and integrations that make the platform more flexible and useful for customers. This includes developing add-ons such as:Forms – a flexible form-building capability that allows users to create and manage dynamic forms based on predefined UX layouts, without requiring developer involvement. Forms can be structured using rows, columns, and reusable elements, enabling editors and marketers to quickly build and update forms while still supporting advanced customization when needed.Language Manager – enabling editors to work efficiently with multilingual contentAI tools & agents – we are building AI-powered capabilities to streamline how forms and content experiences are created and managed. This includes generating forms dynamically from design inputs (e.g., Figma) or user intent, reducing manual composition while applying best practices by default. We also explore using agents to connect our add-ons with other parts of the ecosystem (e.g., Campaign, Optimizely Data Platform), helping automate workflows, reduce friction, and enable more seamless data flow across systems. These capabilities are supported by the Opal Orchestrator platform, which underpins how AI-driven workflows are designed and executed across the product.In addition, we integrate the CMS with external systems and services, helping it fit into a wide range of customer architectures. This includes ingesting data from other Optimizely products and enabling seamless data flow into marketing automation systems to support high-impact campaigns. A significant part of our work involves designing and maintaining REST APIs that expose CMS functionality and enable flexible, composable use of the platform.Our CMS is not just a product—it's also a platform used and extended by a global developer community. Customers and partners build custom solutions, integrations, and extensions on top of it. Because of that, we place strong emphasis on clean, well-structured code, clear abstractions, and solid separation of concerns. We aim to provide stable APIs and extension points that make the platform easy to customize and build upon.You'll be joining a group of experienced engineers with deep product knowledge and diverse technical backgrounds. While engineers on this team are based in Hanoi, Vietnam, the wider CMS organization spans the US, UK, Stockholm, Vietnam, and Bangladesh. We value collaboration, open communication, and shared ownership across these global locations.We have an office in London and support a hybrid setup. If you're based elsewhere in the UK, we also support fully remote work.How We WorkWe're a global company, and our teams collaborate across time zones while respecting local working hours and personal commitments.We care about work-life balance in practice. Occasionally, there may be urgent production issues or releases that require extra effort, but this is the exception rather than the norm. Many engineers stay with us long-term because the work remains interesting and the environment is supportive.Job ResponsibilitiesDesign, build, and maintain scalable, maintainable software systems Develop CMS features, add-ons, APIs, and integrations with external systems Contribute to system design and architectural decisions Ensure product quality through automated testing and operational best practices Own services in production, including monitoring and incident handling Collaborate with product managers, designers, and engineers to deliver features end-to-end Consider real-world usage and customer needs in technical decisions Mentor other engineers and contribute to knowledge sharing Participate in hiring and help grow the engineering team Knowledge and ExperienceMust have~8+ years of experience in software engineering (flexible depending on experience)Strong fundamentals in software design and engineeringExperience with C# and .NET, and React on the frontendExperience with CMS platforms, content modelling, or similar domainsExperience building and operating cloud-based systemsComfortable using AI tools (e.g., Claude or similar) in your daily workflow for problem solving, learning, and improving code quality and delivery speed; able to guide AI-assisted development using structured instructions (e.g., well-defined prompts or Markdown-based instruction files) to generate code in a controlled and maintainable way, with interest or experience in leveraging AI agents to further enhance productivityStrong testing mindset, with a focus on building reliable, well-tested systems and maintaining high code qualityComfortable working in cross-functional, agile teamsStrong communication and collaboration skillsNice to haveExperience with Optimizely CMS or similar CMS/DXP platforms.NET Core / MVCSQL (especially MS SQL)REST APIs or GraphQLContainers and cloud platforms (e.g., Azure)Experience building modular systems with continuous deliveryExperience building AI-powered features (e.g., RAG systems, LLM integrations)Degree in Computer Science or equivalent experienceEducationBachelor’s Degree (Computer Science or engineering preferred) or equivalent work experienceOptimizely is committed to a diverse and inclusive workplace. Optimizely 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.#LI-AK1

About 9fin9fin is the AI platform powering global debt markets — the world’s largest asset class at over $145 trillion.Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value workflows across global markets.Today, 9fin powers teams at 300+ blue-chip institutions worldwide, including global banks, asset managers, private equity firms, law firms, and advisors. The business is scaling at exceptional speed, with rapid expansion in the US and best-in-class retention driven by deep workflow adoption.We’re at a defining inflection point. With proven product-market fit and strong, global market pull, 9fin is accelerating toward becoming the category-defining platform for debt markets worldwide.What you'll work onAs part of a cross functional team, lead projects by defining and designing systems, building proof of concepts, and delivering new service functionality - including APIs, data processing and automation - while collaborating with Product and ClientsDevelopment and engineering primarily on the backend services and web application hosted tools and systems of the 9fin platform.Play an impactful role within project teams as a senior IC, running code reviews, mentoring other developers, leadership & involvement in early research and experimentation with new technologies providing input for new features and products.Continually improve the 9fin codebase taking the chance to automate, refactor and document when it’s most impactful..Very diverse web platforms, from complex financial data modelling, complex access control business logic, capturing environmental, emission, energy data, incorporation of ML/AI prediction services, data visualisation serving and automation systems.Collaboration and teamwork: Cross functional teams are formed for all projects including the appropriate domain expertise from 9fin financial, legal and editorial colleagues. This allows the best quality information and feedback to go directly to engineering project teams. Your ability to explain and break down complex projects to non technical audiences will enable productive and efficient team progress.Developer Experience: Through managed automated preview environments, feature flags and well maintained non production environments. You will be able to move with velocity and get feedback and iterate quickly.Our StackPython is the dominant backend language usedFlask & FastAPIReact & TypeScriptTyping is used within our Python stack to power automated documentation and API definitionsRelational Databases (PostgreSQL) at the heart of majority of servicesWe have our own internal developer platform with standardised paved road approaches to infrastructure to bring your code into production as quickly as possible.We’re AWS for Cloud hosted servicesHeavy use of AWS lambda ServerlessDocker (AWS ECS) for uniform development/deployment from dev to prodRequirementsThis role will be a great fit if you:Have experience operating as a Senior IC Engineer, leading systems design and infrastructure discussions, mentoring more junior team members, and scoping work within cross-functional product teams.Comfortable moving between frontend and backend work, picking the right tool for the problem rather than specializing in one area.Strong knowledge of modern JavaScript/TypeScript and frameworks such as React, alongside experience building scalable backend services and APIs.Comfortable leveraging modern AI-assisted development tools (e.g. Cursor, Claude, ChatGPT, GitHub Copilot) to improve productivity while maintaining high engineering quality.A strong product mindset with an eye for user experience, working closely with designers and product managers to craft intuitive, polished interfaces.Able to independently own features from idea through design, implementation, deployment and iteration.Strong system design and problem-solving skills, balancing speed with long-term maintainability.BenefitsWe’re a scaling start up and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel.Financial & InsuranceCompetitive Salary (our salary bands are benchmarked at the top end of the market)Equity optionsPension (your minimum contributions are 4% with 9fin matching up to 7%)Private Medical InsurancePaid sick leave with Income Protection for long periods of illnessGroup Life AssuranceSeason Ticket Loan & Cycle to Work schemesTime off25 holiday days per yearLocal public holidays (with the ability to exchange them for alternative days)Hybrid working model, to allow you the flexibility to decide how, where and when you do your best workWork abroad for up to 3 months a year1 month paid sabbatical after 5 years of serviceEnhanced parental leave & flexible working arrangements availableTraining & CultureProfessional learning and development budgetQuarterly team socialsSummer and Winter company social events9fin is an equal opportunities employerAt 9fin we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognize that building diverse teams enables a more creative and productive environment. If you’re excited about this role but your experience doesn’t perfectly align with the job description, we encourage you to apply anyway. You might just be who we’re looking for — either for this role, or perhaps another.LocationLondonEmployment TypeFull timeDepartmentEngineering

About 9fin9fin is the AI platform powering global debt markets — the world’s largest asset class at over $145 trillion.Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value workflows across global markets.Today, 9fin powers teams at 300+ blue-chip institutions worldwide, including global banks, asset managers, private equity firms, law firms, and advisors. The business is scaling at exceptional speed, with rapid expansion in the US and best-in-class retention driven by deep workflow adoption.We’re at a defining inflection point. With proven product-market fit and strong, global market pull, 9fin is accelerating toward becoming the category-defining platform for debt markets worldwide.The OpportunityThe AI Engineering team at 9fin is building the next generation of AI capabilities that will power our products for years to come. We're looking for a Senior AI Platform Engineer to help design, build, and evolve the core AI platform that enables Generative AI, Agentic AI, and machine learning applications across the business.This is an opportunity to join at the beginning of the platform's journey. Rather than inheriting a mature internal platform, you'll help shape its architecture, define engineering standards, and build reusable infrastructure that allows AI teams to move quickly, safely, and at scale.Working alongside backend engineers and AI engineers, you'll create the shared platform services that power everything from intelligent document understanding to autonomous AI agents capable of running scheduled workflows, generating morning briefings, identifying distressed companies, and supporting future AI-powered product experiences.Every day is different, but here's an example of the kind of things you'll work on:Design, build and continuously evolve the enterprise AI platform that powers AI products across 9fin.Develop scalable AI services supporting Agentic AI, Retrieval-Augmented Generation (RAG), embeddings, vector search, model serving, and intelligent automation.Build orchestration layers that transform structured and unstructured enterprise data into reusable AI capabilities.Develop production-ready AI applications using modern LLM frameworks and orchestration tools.Design reusable platform components for prompt management, model serving, vector search, embeddings, AI gateways, and evaluation services.Build APIs, SDKs, and developer tooling that enable self-service AI development across engineering teams.Design secure, scalable deployment pipelines for AI models and applications.Build AI observability capabilities including monitoring, tracing, evaluation, cost optimisation, and production quality measurement.Collaborate closely with AI Engineers, Backend Engineers and Engineering Leadership to define platform architecture and engineering standards.Establish engineering best practices around testing, governance, Responsible AI, deployment, and operational excellence.Continuously evaluate emerging AI technologies and evolve the platform as the ecosystem rapidly advances.What Makes This Role DifferentUnlike many AI Platform roles that focus on maintaining existing infrastructure, this role is centred around building the platform from the ground up.You'll join at an early stage where many architectural decisions have yet to be made, giving you genuine influence over how AI is built, deployed, and operated across 9fin.Within your first six months, you'll help build the platform that powers production AI agents capable of running autonomously in the background—supporting workflows such as scheduled market briefings, distressed company discovery, and future intelligent financial research products.Rather than owning a single AI product, you'll build the shared capabilities that enable multiple engineering teams to rapidly develop, deploy, and operate AI solutions at scale.You'll be one of a small number of senior engineers helping shape the technical direction of the platform alongside the Engineering Lead and fellow senior engineers.About YouThis role will be a great fit if you:AI Platform EngineeringHave 5+ years of software engineering experience, including 2+ years building AI/ML platforms, Generative AI applications, or production machine learning systems.Have experience designing and deploying enterprise AI applications into production with a strong focus on scalability, reliability, and developer experience.LLMs & Agentic AIHave hands-on experience building applications powered by Large Language Models (LLMs).Have experience building Model Context Protocol (MCP) and Retrieval-Augmented Generation (RAG) solutions, making use of embeddings, vector databases, and modern LLM orchestration frameworks.Have experience building or contributing to agentic AI systems, intelligent workflows, or orchestration frameworks.Backend & Platform EngineeringAre a strong backend engineer with production experience using Python and/or TypeScript.Have designed scalable backend services, REST APIs, and event-driven architectures.Have experience building reusable platform capabilities, internal developer tooling, SDKs, or shared engineering services.Cloud & InfrastructureHave strong experience building cloud-native applications.Are comfortable working with Docker, Kubernetes, CI/CD pipelines, and containerised deployments.Have experience with solutions such as AWS Bedrock and AgentCoreUnderstand how to deploy, monitor, and operate AI services in production.AI Operations & ObservabilityHave experience implementing monitoring, tracing, evaluation, and cost optimisation for AI systems.Have experience with observability solutions such as Arize Phoenix, Langfuse, or LangsmithUnderstand the operational challenges of deploying LLM-powered applications, including latency, reliability, hallucination monitoring, and model quality evaluation.Collaboration & Technical LeadershipEnjoy collaborating across multiple engineering disciplines to shape technical direction and establish engineering best practices.Are comfortable operating as one of a small number of senior engineers, influencing architecture and platform direction without necessarily having formal management responsibilities.Thrive in fast-moving environments where many platform capabilities are still being designed and built.Bonus PointsExperience with any of the following would be highly advantageous:AI gateways and model routingPrompt management platformsAI evaluation frameworksLangGraph, LangChain, LlamaIndex, DSPy, CrewAI or similar orchestration frameworksVector databases and semantic retrievalKnowledge graphs or document understanding systemsBuilding internal AI platforms used by multiple engineering teamsBenefitsWe’re a scaling start up, and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel.Financial & InsuranceCompetitive Salary (our salary bands are benchmarked at the top end of the market)EquityPension (your minimum contributions are 4% with 9fin matching up to 7%)Private Medical InsurancePaid sick leave with Income Protection for long periods of illnessGroup Life Assurance Season Ticket Loan & Cycle to Work schemesTime off 25 holiday days per yearLocal public holidays (with the ability to exchange them for alternative days)Hybrid working model, to allow you the flexibility to decide how, where and when you do your best workWork abroad for up to 3 months a year1 month paid sabbatical after 5 years of serviceEnhanced parental leave & flexible working arrangements availableTraining & Culture Professional learning and development budgetAI experimentation budget of 800 (UK) per employee to trial AI toolsQuarterly team socialsSummer and Winter company social events9fin is an equal opportunities employerAt 9fin we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognize that building diverse teams enables a more creative and productive environment. If you’re excited about this role but your experience doesn’t perfectly align with the job description, we encourage you to apply anyway. You might just be who we’re looking for — either for this role, or perhaps another.LocationLondonEmployment TypeFull timeDepartmentData & AI

QUALIFICATIONSBachelors, Master’s or PhD level degree in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence7-8+ years of experience in software development, with significant full-stack web application development experience strongly preferred Experience working collaboratively with technical and non-technical team members and stakeholders Hands-on experience and willingness to learn across frontend (TypeScript, React, Angular, Vue, Next.js, Tailwind), backend (Python, Node.js, Java/Spring, C#/.NET), and databases (SQL, NoSQL, vector databases, ETL)Experience with LLM frameworks, prompt orchestration, agent frameworks, MCPs, evaluation frameworks, and cloud platforms (Azure, AWS, GCP), including Docker and CI/CDStrong focus on automated testing, logging, monitoring, and overall system reliabilityExperience modeling and coaching others to use engineering best practices such as design patterns, customer-centric design, test-driven development, code refactoring, code review, and OWASP Top 10 security awarenessExperience leading in Agile teams, including coaching and modeling Agile mindsets as part of sprint ceremonies, work definition and building developer capabilitiesExceptional time management to meet your responsibilities in a complex and largely autonomous work environmentStrong communication skills, both verbal and written, in English, with the ability to adjust your style to suit different perspectives and seniority levelsWHO YOU'LL WORK WITHDriving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.When you join us, you will have:Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.WHAT YOU'LL DOAs a Senior Software Engineer, you will lead architecture design, drive technology decisions, and co-create innovative products while mentoring clients to adopt Agile practices and engineering excellence. Your role offers hands-on collaboration, diverse industry exposure, and opportunities to shape solutions and grow as a technology leader. You will lead project workstreams, drive architectural decisions, and build scalable solutions using Agile methodologies. Working closely with client teams, you will co-create products, foster a culture of engineering excellence, and mentor teams in best practices. Your responsibilities will include shaping technical strategies, making key technology decisions, and ensuring the delivery of impactful, user-centric solutions. Your work will have a lasting impact beyond the products you build. By collaborating with client leadership, you will influence their digital strategies, help scale their engineering cultures, and enable them to achieve sustainable growth. Each project will expose you to diverse industries and technologies, providing opportunities to learn and grow while shaping the future of technology. You will design and deliver next-generation products that transform businesses across industries. Based in one of our global locations, you will be part of QuantumBlack AI by McKinsey, a multidisciplinary group of software engineers, AI engineers, data scientists, and technology consultant passionate about creating industry-shaping products and tools. Your role offers unparalleled opportunities for growth and innovation. At McKinsey, you’ll have a seat at the table with client leaders, the chance to shape product strategies, and the freedom to explore areas of personal interest. Supported by a collaborative and innovative team, you’ll make a lasting impact on clients, industries, and the future of technology.

Snyk is the leader in secure AI software development, helping millions of developers develop fast and stay secure as AI transforms how software is built. Our AI-native Developer Security Platform integrates seamlessly into development and security workflows, making it easy to find, fix, and prevent vulnerabilities — from code and dependencies to containers and cloud.Our mission is to empower every developer to innovate securely in the AI era — boosting productivity while reducing business risk. We’re not your average security company - we build Snyk on One Team, Care Deeply, Customer Centric, and Forward Thinking.It’s how we stay driven, supportive, and always one step ahead as AI reshapes our world.Snyk is the leader in secure AI software development, helping millions of developers develop fast and stay secure as AI transforms how software is built. Our AI-native Developer Security Platform integrates seamlessly into development and security workflows, making it easy to find, fix, and prevent vulnerabilities — from code and dependencies to containers and cloud.Our mission is to empower every developer to innovate securely in the AI era — boosting productivity while reducing business risk. We’re not your average security company - we build Snyk on One Team, Care Deeply, Customer Centric, and Forward Thinking.It’s how we stay driven, supportive, and always one step ahead as AI reshapes our world.Why this role?Our Solutions Architecture & SME team is seeking a new team member to support our go-to-market efforts. The Solution Architect is first and foremost a subject matter expert in Application Security testing (SAST, SCA, DAST, etc) and/or agentic software development & building AI-native applications.You will partner with pre-sales teams and leverage this technical expertise to define “big picture” solution architecture that’s both grounded in technical realities and drives the conversation into Business Value Realization strategies. As a key strategic advisor, you will bridge the gap between developer workflows and C-suite priorities, quantifying Snyk’s ROI and securing our position as a mission-critical partner across the global Enterprise landscape. You will partner closely with pre-sales teams, but your expertise and ability to deliver anything from a deep dive into technology to a compelling session for C-level executives is also leveraged in post-sales and cross-functional initiatives with departments like Product, Engineering, Marketing and Enablement.What You’ll Do:Drive Deals and Revenue: Partner closely with Account Executives & Solutions Engineers on large deals and progress deals of all sizes by addressing customer's technical concerns through deep-dive sessions. Work closely with sales leaders to drive revenue through new sales campaigns and removing deal-specific roadblocks.Create Solution Architecture: “big picture” solution architecture that’s both grounded in technical realities and drives the conversation into Business Value Realization strategies. Gain alignment amongst customer stakeholders on it and then own this big picture into post-sales.Be a Technical Enabler: Leverage your technical expertise to unblock both pre-sales and post-sales account teams behind the scenes, and contribute to the global Solutions Engineering community of practice through mentorship and influence.Influence Product Strategy: Capture, distill, and prioritize field feedback and share with the Product team. Build influential, productive relationships with engineering and product teams to address gaps, double down on strengths, and steer product direction.Create and Deliver Compelling Content: Create and confidently deliver innovative content and technical presentations on product positioning, differentiators, and best practices for Snykers, business partners, and customers. This includes speaking to and engaging large audiences (50+ attendees) both in-person and virtually.What You Bring:5+ years of Solutions Engineering or Solution Architect experience, including $1 million+ opportunities, with a track record of aligning technical solutions with complex business challengesAt least some hands-on Software Development and Application Security experienceExceptional communication skills with the ability to navigate high-pressure security objections and build rapport with executive leadershipA deep technical understanding of the software development lifecycle, cloud-native architectures, and modern DevOps ecosystemsHave direct experience with agentic software development and building AI-native applicationsYou have led cross-functional teams on key projects and can create alignment, rally resources, and delight stakeholdersExperience working with Financial and Insurance organizations is a bonus#LI-WR1We care deeply about the warm, inclusive environment we’ve created and we value diversity – we welcome applications from those typically underrepresented in tech. If you like the sound of this role but are not totally sure whether you’re the right person, do apply anyway!About SnykSnyk is committed to creating an inclusive and engaging environment where our employees can thrive as we rally behind our common mission to make the digital world a safer place. From Snyk employee resource groups, to global benefits that help our employees prioritize their health, wellness, financial security, and a work/life blend, we aim to support our employees along their entire journeys here at Snyk.Benefits & ProgramsPrioritize health, wellness, financial security, and life balance with programs tailored to your location and role.Flexible working hours, work-from home allowances, in-office perks, and time off for learning and self developmentGenerous vacation and wellness time off, country-specific holidays, and 100% paid parental leave for all caregiversHealth benefits, employee assistance plans, and annual wellness allowanceCountry-specific life insurance, disability benefits, and retirement/pension programs, plus mobile phone and education allowancesSummaryLocation: United Kingdom - London OfficeType: Full time

Job Reference #339181BRCityLondonJob TypeFull Time Your roleAre you passionate about building cutting edge products that deliver real value to clients?Are you excited about shaping how a global investment bank builds and scales its Digital Assets business?Do you thrive at the intersection of strategy, regulation, front 2 back workflows, risk and delivery — ensuring complex initiatives succeed across multiple trading desks and delivery units?We’re looking for an IB Digital Asset Trading platform and product developer/initiative manager to:• Liaise with senior business stakeholders, sales, trading and clients to develop and implement the roadmap to our Digital Assets Products• Build business cases by identifying target markets and appropriate products and assessing revenue potential. Continue to monitor revenue and return on investment throughout the product lifecycle• Understand client needs, drive adoption of the tools you develop and present product strategy to senior stakeholders• Partner with Technology and other Logistics functions to successfully deliver business initiatives• Coordinate the launch of new offerings, including internal approvals and controls, pilot client phasing and marketing through to final launch• Act as a central orchestrator, subject matter expert and program owner for IB Digital Assets initiatives.Your Career ComebackWe are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.Your team• The role reports into the IB Digital Assets Trading Platform and Risk Management Head• Your immediate team is comprised of Product Managers, Quants, Quant Devs, Data Scientists and IT working on the cutting edge of Financial Markets• Your team is responsible for setting and delivering the product and technology strategy for Digital Assets TradingYour expertise• Strong, practically based Digital Assets business knowledge. • Knowledge of the Cryptocurrency ecosystem and ideally work experience within a Crypto native firm. • Ideally 3-7 years of experience of Product Management within the financial sector.• Strong stakeholder management skills and previous experience driving and delivering initiatives involving multiple stakeholder groups• Able to manage deadlines, and resolve prioritization conflicts by building consensus across various stakeholder groups and partner teams• Strong analytical and problem-solving skills• Strong understanding of regulatory, legal and balance sheet considerations impacting Digital Assets businesses• Inquisitive, mature, and able to challenge effectively and manage conflicting stakeholder needs.• Excellent written, presentation and verbal communication skills• You’re curious to explore how AI can improve how we build, deliver, and optimize workflows. You do this with sound judgment – validating outputs and aligning with policies, risk standards, and ethical use.About usUBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.We know that great work is never done alone. That’s why we place collaboration at the heart of everything we do. Because together, we’re more than ourselves. Want to find out more? Visit ubs.com/careers.Join usAt UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves.We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.Disclaimer / Policy statementsUBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.Country / State: United KingdomFunction Category: Business management, administration and support Business Divisions: Investment Bank

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The roleAs a Staff ML Performance Engineer, you’ll play a key role in high-impact projects, optimising ML inference for edge accelerators and GPUs. The focus of this team is to run large transformer-based models efficiently on low-cost, low-power edge devices to enable Wayve’s first driving product.You’ll help set the technical direction for turning these models into production systems that run reliably on in-vehicle compute. This is a hands-on role working across ML systems, compilers, runtimes, kernels, and embedded deployment, contributing to several early-stage, high-impact projects at Wayve.Key responsibilities:Profile and pinpoint bottlenecks across the full inference stack (model graph, compiler/runtime, kernel execution, memory movement) and deliver measurable improvements.Implement and validate optimisations in compilers, runtimes, and/or kernels (e.g. operator fusion, scheduling, quantisation-aware performance, custom kernels).Build robust benchmarking and regression testing to ensure performance improvements hold across models, devices, and software releases.Optimise for multiple targets (e.g. NVIDIA Orin/Thor, Qualcomm) and work with teams to support these in a maintainable wayCollaborate with model developers to influence architecture and training/deployment decisions that affect on-device performance.Contribute to technical roadmaps and tooling and help raise the standard of performance engineering across the teamAbout youEssentialProven experience improving performance in production systems with tight constraints (latency, memory, bandwidth, power/thermal, or cost).Strong proficiency with at least one relevant stack/toolchain (e.g. TensorRT, CUDA, Qualcomm QNN, Triton, OpenCL) and confidence learning adjacent frameworks quickly.Comfort operating at multiple levels of abstraction — from high-level model behaviour down to low-level kernel/runtime execution.Strong software engineering fundamentals (debugging, profiling, testing, and maintainable code).Clear communicator and collaborative teammate; able to align multiple stakeholders on performance trade-offs and priorities.DesirableExposure to embedded or edge deployment of ML models, including benchmarking on real devices and handling system-level constraints.Experience with NVIDIA and/or Qualcomm SoCs and performance tooling.Python and C++ proficiency.Experience mentoring others and/or driving technical direction in a small, fast-moving team.This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. #LI-HH1Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to WorkDISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

Company DescriptionWork with Us. Change the World.At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.We're one global team driven by our common purpose to deliver a better world. Join us.Job DescriptionStart here. Grow here. AECOM is seeking to recruit an Infrastructure Engineer with a highways and drainage focus to join our busy Development Infrastructure Team.The team delivers a wide range of multidisciplinary, predominantly residential-led infrastructure projects. Our work spans early scoping and feasibility, technical support for planning, detailed infrastructure design for implementation, and ongoing support during construction.In addition, the team supports AECOM design teams across the UK and Ireland on a diverse portfolio of infrastructure projects, including highways, rail, water infrastructure, and solar farms. We also provide civil engineering design support to our structural engineering colleagues on projects across commercial, education, leisure, defence, healthcare, and other government sectors.Here’s what you’ll do:This role offers an excellent opportunity for a suitably experienced Civil Engineer to further develop their career, taking on increased responsibility for both technical delivery and project management.Key responsibilities include:Lead the technical designs and digital delivery of civil engineering projects.Prepare and review survey specifications, including utilities and topographical surveys.Check and coordinate the production of studies, assessments, and conceptual designs for development schemes (drainage, highways, utilities, earthworks, and flood risk).Liaise with regulatory bodies and key stakeholders to secure approvals and ensure compliance.Contribute to bids and proposals, attend project meetings, and confidently communicate technical solutions.Come grow with us:And let's not forget about the perks at AECOM. You'll enjoy a range of core and personalised benefits designed to support your future and well-being, customized to fit your lifestyle. Take advantage of career development opportunities, our flexible hybrid working model to ensure a work-life balance that suits your lifestyle, technical practice networks, AECOM University, and volunteering days.QualificationsReady to push the limits of what’s possible? Requirements:Civil Engineering degree (BEng) and/or Master’s degree (MEng).Relevant experience, ideally within a consultancy environment, delivering highways and drainage design for residential, commercial, and wider infrastructure schemes.Proficient in industry-standard software, including InfoDrainage, AutoCAD, and AutoCAD Civil 3D.Experience working with developer clients and contractors, with a proven track record of delivering infrastructure projects.Familiarity with ArcGIS is welcomed but not essential, along with an interest in integrated AI solutions.Preferred Qualifications:BEng or MEng with progress toward Incorporated or Chartered status with the Institution of Civil Engineers (ICE), or membership of CIWEM or CIHT.Additional Information#BECIVILS #BEDIAt AECOM, we are committed to maintaining a secure and trustworthy recruitment process and take any fraudulent hiring activity seriously. To support this commitment, all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment.About AECOMAECOM is the world’s trusted infrastructure consulting firm, delivering professional services throughout the project lifecycle – from advisory, planning, design and engineering to program and construction management. On projects spanning transportation, buildings, water, new energy and the environment, our public- and private-sector clients trust us to solve their most complex challenges. Our teams are driven by a common purpose to deliver a better world through our unrivaled technical and digital expertise, a culture of equity, diversity and inclusion, and a commitment to environmental, social and governance priorities. AECOM is a Fortune 500 firm and its Professional Services business had revenue of $16.1 billion in fiscal year 2025. See how we are delivering sustainable legacies for generations to come at aecom.com and @AECOM.Freedom to Grow in a World of Opportunity You will have the flexibility you need to do your best work with hybrid work options. Whether you’re working from an AECOM office, remote location or at a client site, you will be working in a dynamic environment where your integrity, entrepreneurial spirit and pioneering mindset are championed.You will help us foster a safe and respectful workplace, where we invite everyone to bring their whole selves to work using their unique talents, backgrounds and expertise to create transformational outcomes for our clients.AECOM provides a wide array of compensation, benefits and well-being programs to meet the diverse needs of our employees and their families. We’re the world’s trusted global infrastructure firm, and we’re in this together – your growth and success are ours too.Join us, and you’ll get all the benefits of being a part of a global, publicly traded firm – access to industry-leading technology and thinking and transformational work with big impact and work flexibility. As an Equal Opportunity Employer, we believe in each person’s potential, and we’ll help you reach yours.We are a Disability Confident Employer and will offer an interview to applicants who have a disability or long-term condition, who meet the minimum/essential criteria for the role. Please let us know using this email address ReasonableAccommodationsUKI@aecom.com if you would like to apply through the Disability Confident Interview Scheme.All your information will be kept confidential according to EEO guidelines.SummaryType: Full-timeFunction: EngineeringExperience level: AssociateIndustry: Construction

Senior Associate, Full-Stack Engineer Opportunities.At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.We welcome you to apply! When applying to this general posting, our expert BNY Talent Acquisition Team may also review your resume for consideration across other open roles within the company.We’re seeking a future team member for the role of Senior Associate, Full-Stack Engineer to join our team. This role is located in London.Role Overview: We’re seeking a Full Stack Developer to build secure, scalable, and resilient systems. You’ll work primarily on the backend while contributing to modern web frontends, owning delivery across the product lifecycle and collaborating closely with product and design partners. In this role, you’ll make an impact in the following ways: Design, build, and maintain backend services, batches and APIs, contributing to UI components as needed.Own end-to-end delivery: implementation, testing, deployment, observability, and reliability.Write clean, well-tested code; participate in code reviews and continuous improvement.Collaborate with product, design, and operations to translate business needs into technical solutions.Enhance performance, security, and resiliency through best practices and automation (CI/CD).Foster a learning, inclusive team culture —aligned to BNY’s principles and pillars.To be successful in this role, we’re seeking the following: Hands-on AI development using modern tools and IDEs (e.g., Windsurf).Solid understanding of programming concepts and microservicesProficiency in Java with Spring.Experience with CI/CD, automated testing (JUnit/Spock), and containers (Docker).Familiarity with microservices, observability/telemetry (e.g., Splunk, AppDynamics), and cloud deployments.Curiosity to understand the business domain and translate product strategy into technical solutions.Working knowledge of Groovy with Spock preferred.Working knowledge of JavaScript/TypeScript and Angular 15+ preferred.At BNY, our culture speaks for itself, check out the latest BNY news at:BNY NewsroomBNY LinkedIn Here’s a few of our recent awards: America’s Most Innovative Companies, Fortune, 2025World’s Most Admired Companies, Fortune 2025“Most Just Companies”, Just Capital and CNBC, 2025Our Benefits and Rewards:BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.This is a talent pipeline posting and does not represent any one particular job opening. By applying to this pipeline requisition, your interest will be reviewed for multiple potential openings based upon your background and disclosed work preference.Full timePosting Date: 2026-02-13

Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.With a vision to be the world’s most trusted financial group, it’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.GMEO (Global Markets Engineering Office) provides engineering capability, delivery discipline and scalable technology enablement for Global Markets. Global Markets AI is the specialist team responsible for AI strategy, engineering standards, reusable delivery patterns and responsible AI adoption across Global Markets.The Global Markets AI Centre of Excellence provides the platform, standards, controls and enablement model that allow applied AI adoption to scale safely across Global Markets. Its role is to move Global Markets from AI experimentation to a governed operating model where applied AI becomes part of how every function works, controls, documents and improves.The Centre of Excellence owns the enterprise AI delivery framework for Global Markets, including AIQ platform capability, enterprise AI architecture, reusable components, model and prompt governance, release controls, AI inventory, training, certification and delivery standards. The CoE does not build every use case. It enables scale, certifies builders, governs release, maintains standards and directly delivers enterprise-grade or high-risk AI capabilities.MAIN PURPOSE OF THE ROLE The GMEO AI Engineer - Centre of Excellence is a Lane 3 role responsible for designing, governing and delivering enterprise-grade AI capability for Global Markets AI Lane 3 covers high-risk, cross-function, model-risk, regulatory-impact or mission-critical AI capabilities that require full enterprise controls, architecture review, security review, release governance and lifecycle management.The role will help establish AIQ as the governed route from business idea to operationalised IT, supporting intake, risk classification, lane routing, build, test, validation, release, hosting, monitoring and lifecycle management for AI-enabled solutions.The role will define and maintain the technical standards, patterns, guardrails and reusable components that enable Lane 1 citizen-led AI tools and Lane 2 function-built AI tools to scale safely, while directly engineering Lane 3 enterprise capabilities where complexity, risk or cross-function dependency requires CoE ownership.The role will support the strategic objective of improving Net Operating Profit through the ABC Plan for AI: Alpha revenue enablement, Beta/Budget cost reduction and Controls-led governance, resilience and evidence automation.KEY RESPONSIBILITIESLead the engineering design and delivery of Lane 3 enterprise AI capabilities for Global Markets AI, ensuring solutions meet full enterprise architecture, security, governance and operational standards.Define, maintain and continuously improve AIQ engineering standards, reusable patterns, control requirements and reference architectures for Global Markets AI adoption.Own or support technical governance for AI intake, risk classification, lane routing, architecture review, threat modelling, model and prompt evaluation, release approval and production monitoring.Build reusable AI platform components, including RAG frameworks, agentic workflow patterns, connector patterns, evaluation harnesses, logging, audit trails, evidence packs and deployment templates.Partner with Lane 2 Function Aligned AI Engineers to review designs, unblock engineering issues, promote reuse and ensure local function-built solutions remain aligned to CoE standards.Enable Lane 1 citizen-led delivery by providing safe templates, guardrails, training, certification, review processes and controlled runtime patterns.Maintain AI inventory quality and ensure production AI solutions have clear ownership, documentation, data lineage, access control, monitoring, support model and lifecycle status.Design and govern AIQ integrations with enterprise tools and data sources, including entitlement controls, DLP, audit logging, read-only execution constraints and operational resilience requirements.Work with Technology, Cyber, Risk, Compliance, Legal, Finance, Operations and Front Office stakeholders to ensure AI adoption is safe, supportable, auditable and aligned to Bank and Securities entity obligations.Ensure AI-enabled solutions include human oversight, explainability, validation, testing, exception handling, evidence capture and escalation paths proportionate to risk.Track and evidence benefits from CoE platform and Lane 3 delivery, including NOP contribution, productivity uplift, cost reduction, control improvement, cycle-time reduction and operational resilience.Maintain awareness of emerging AI, agentic engineering, model evaluation, governance and enterprise platform capabilities, assessing their relevance to Global Markets in a controlled and commercially practical manner.WORK EXPERIENCEEssential:Enterprise AI delivery – Significant experience designing, building or governing AI, generative AI, agentic AI, automation or data-driven platforms in a regulated enterprise environment.Platform engineering – Experience delivering reusable platform capabilities, shared engineering frameworks, enterprise components or developer enablement tooling.Regulated controls – Experience working with governance, model risk, compliance, information security, data privacy, audit, operational resilience or control requirements in financial services or another regulated industry.Software engineering – Strong experience with modern software engineering practices, including architecture, version control, CI/CD, testing, peer review, security scanning, release management and production support.Stakeholder leadership – Experience working with senior business, technology, risk, compliance and control stakeholders to deliver measurable outcomes under policy, control and delivery constraints.Cross-functional delivery – Experience delivering capabilities that span multiple functions, systems, data domains, control owners or legal entities.Preferred:Financial markets – Experience in Global Markets, investment banking, capital markets, trading, sales, risk, finance, operations or securities processing environments.AI governance – Experience with AI governance frameworks, model inventory, model risk management, prompt/model evaluation, responsible AI, AI risk classification or regulatory expectations for AI.Enterprise data – Experience with governed enterprise data platforms, data catalogues, query gateways, entitlement controls, data lineage and audit logging.Connector ecosystems – Experience designing secure integrations with enterprise systems such as JIRA, Azure DevOps, OpenPages/GRC, ServiceNow, SharePoint, Confluence, Git, IAM, SIEM or observability platforms.Developer enablement – Experience training, certifying or enabling distributed engineering communities, citizen developers or function-aligned delivery teams.Production AI operations – Experience with MLOps, LLMOps, monitoring, evaluation, drift detection, incident management, change control and lifecycle management for AI-enabled applications.SKILLS AND EXPERIENCEFunctional / Technical Competencies:EssentialGenerative AI architecture – Deep understanding of generative AI concepts, including prompt design, model selection, RAG, embeddings, vector search, tool use, agentic orchestration, evaluation, hallucination risk and guardrails.Enterprise controls – Ability to design AI solutions with appropriate access control, audit logging, data classification, DLP, secrets management, human oversight, exception handling, monitoring and evidence capture.Python and engineering – Strong Python development skills and ability to build maintainable, tested, documented and supportable enterprise code.Platform design – Ability to design reusable frameworks, platform services, APIs, SDKs, templates and reference implementations for distributed delivery teams.Cloud architecture – Strong understanding of cloud-based programming and architecture, particularly Azure; AWS experience is also beneficial.Data platforms – SQL and database experience, including enterprise data access, transformation, validation, data lineage and integration with platforms such as Snowflake, Starburst or equivalent.CI/CD and release – Strong use of industry-standard CI/CD and software delivery tools such as Git, TeamCity, deployment automation, issue tracking and release governance.AI-assisted engineering – Advanced use of AI-assisted engineering tools such as GitHub Copilot, Claude Code or equivalent agentic coding harnesses, with appropriate review, testing and control of generated outputs.Testing and validation – Ability to define test strategies for AI-enabled solutions, including functional testing, regression testing, prompt/model evaluation, adversarial testing, UAT, control testing and release evidence.Architecture communication – Ability to communicate complex technical, governance and risk concepts clearly to senior stakeholders and convert strategic objectives into practical delivery patterns.Preferred:MLOps and LLMOps – Experience with model lifecycle management, model/prompt versioning, evaluation harnesses, monitoring and AI operational support.Connector fabric – Experience with secure connector design, MCP-style gateways, API gateways, entitlement enforcement, query policy, DLP, logging and bounded execution patterns.Governance tooling – Familiarity with GRC tooling, control libraries, evidence packs, risk acceptance, issue management and audit workflows.Financial services regulation – Familiarity with AI governance, model risk, operational resilience, EU AI Act concepts, data privacy and regulatory expectations for AI in financial services.Value measurement – Understanding of benefits realisation, baselining, KPI definition, NOP improvement, cost reduction, control improvement and post-implementation measurement.Education / Qualifications:EssentialComputer Science, Engineering, Data Science, Mathematics or related degree, or equivalent practical work experience.Preferred:Relevant cloud, data, AI, cyber, risk, architecture, agile or project delivery certifications.PERSONAL REQUIREMENTSStrategic engineering judgement – Ability to balance speed, innovation, governance, security, resilience and commercial value in a regulated banking environment.Communication – Excellent communication skills, including the ability to engage senior stakeholders and explain AI architecture, risks and opportunities clearly.Leadership – Ability to influence distributed teams, set standards, coach engineers and drive adoption without owning every local delivery outcome.Accountability – Results driven, with a strong sense of ownership for platform quality, controls, adoption and measurable outcomes.Proactivity – Proactive and motivated, with the ability to identify strategic opportunities and drive them through to controlled delivery.Prioritisation – Ability to prioritise according to business value, risk, regulatory impact, operational resilience and delivery constraints.Judgement – Strong decision-making skills and sound judgement, especially where AI outputs affect controls, decisions, regulated processes or production systems.Problem solving – Structured and logical approach to complex, cross-functional problem solving.Collaboration – Excellent interpersonal skills and ability to work across Technology, Risk, Compliance, Legal, Finance, Operations, Front Office and governance teams.Accuracy – Excellent attention to detail and documentation quality.Innovation and control – Creative and innovative mindset, balanced with strong risk awareness and control discipline.This advert will close on 28th August 2026.We are open to considering flexible working requests in line with organisational requirements.MUFG is committed to embracing diversity and building an inclusive culture where all employees are valued, respected and their opinions count. We support the principles of equality, diversity and inclusion in recruitment and employment, and oppose all forms of discrimination on the grounds of age, sex, gender, sexual orientation, disability, pregnancy and maternity, race, gender reassignment, religion or belief and marriage or civil partnership.We make our recruitment decisions in a non-discriminatory manner in accordance with our commitment to identifying the right skills for the right role and our obligations under the law.SummaryLocation: LondonType: Full time