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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 Java Full Stack Engineer with AI-driven development exposure to join our Conventional Trust Platform team. This role is located in London. \n In this role, you’ll make an impact in the following ways: \n\n • \n Define and execute the enterprise Java full stack technology strategy, aligned with business transformation goals. \n • \n Champion AI driven development practices (e.g., AI-assisted coding, automated testing, remediation, and code quality). \n • \n Drive modernization initiatives including cloud migration, microservices, event-driven architectures, and API-led platforms. \n • \n Establish best practices for secure, scalable, and resilient application design. \n • \n Oversee end-to-end delivery of complex platforms across backend (Java) and frontend technologies. \n • \n Ensure high-quality engineering outcomes using CI/CD, automation, and DevSecOps practices. \n • \n Lead large-scale programs focused on velocity, reliability, and cost efficiency. \n • \n Drive backlog prioritization, technical debt reduction, and vulnerability remediation \n\n To be successful in this role, we’re seeking the following: \n\n • \n Senior full stack engineer with Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred \n • \n Strong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling. \n • \n Strong hands-on experience with AI Development tools like Claude CLI, Windsurf \n • \n Solid understanding of the ML lifecycle; exposure to model risk or governance is a plus. \n • \n Strong Java development skills, including experience with multi-threaded and mission critical applications \n • \n Strong Exposure and knowledge of front end technologies such as React and Angular \n • \n Ability to solve ambiguous problems with scalable, innovative solutions. \n • \n Clear communicator who can influence cross-functional partners. \n • \n Excellent collaboration and communication skills, able to engage effectively with engineers, architects, and executives. \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 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 About the role \n We are looking for a passionate Backend Software Engineer to join the Pricing Core team. \n The Pricing Core team focuses on building and maintaining the main pricing platform that enables teams at Wise to price their products in a reliable, scalable and extensible way. \n Our services sit in most of the products' critical paths, processing 100+ million requests every day and operating within strict SLAs. \n You’ll have the chance to work on and shape the future of complex systems, dealing with high-throughput services, designing and building scalable, efficient and performant solutions. \n The team sits within the Pricing Squad and you’ll work closely with teams within and outside the squad. \n Main Responsibilities \n\n • \n Design, develop, test, and maintain backend services written in Java using the Spring Boot framework, deployed on cloud infrastructure (AWS) \n • \n Build and maintain event-driven architectures using Apache Kafka for asynchronous processing of financial events across distributed services \n • \n Contribute and drive architectural decisions, ensuring we maintain a high bar on quality, reliability and observability of our services \n • \n Identify and resolve performance bottlenecks, scalability issues, and technical debt in existing systems \n • \n Participate in on-call rotations to monitor and respond to production incidents for Tier 1 critical services \n • \n Conduct code reviews for team members, ensuring code quality, security, and adherence to engineering standards \n\n What we’re looking for \n Technical Excellence \n\n • \n Strong background in software engineering, with a track record of contributing significantly to large, impactful projects in a complex production domain. \n • \n Experience with Java or similar OOP language. \n • \n Expert in your technical discipline, with the ability to design for long-term iteration and scale. \n • \n You own the availability, reliability and security of the systems you build following engineering best practices. \n • \n You make sensible trade-offs between speed, scalability and risk, and optimise for a predictable, regular cadence of delivery. \n\n Product mindset and autonomy \n\n • \n Ability to work on ambiguous and complex problems \n • \n Own the technical roadmap and deliverables of your project end-to-end, embracing long-term ownership \n • \n Use data to define, prioritise and measure the success of the initiatives \n\n Collaboration, Communication and Growth \n\n • \n Great communication skills and the ability to tailor communication style depending on the audience \n • \n Ability to work with cross-functional teams to shape requirements and priorities \n • \n Ability to mentor and coach other engineers \n • \n Actively share knowledge both within the team and squad \n • \n Regularly seek and provide feedback \n\n Nice to have \n\n • \n Experience in pricing systems and/or payments, finance domains \n • \n Experience working with distributed SQL engines (e.g. Trino) \n • \n Ability to build software solutions, APIs, or platform tooling on top of big data pipelines and analytical engines \n • \n Familiarity with configuration-heavy domain where business logic is shared between data and code \n\n Interested? Find out more: \n\n • \n How we work – a practical guide \n • \n DEI @ Wise \n • \n Wise Tech Stack (2025 update) \n • \n See what it's like to work at Wise London! \n • \n Our Engineering career map \n • \n Wise Engineering – https://medium.com/wise-engineering \n\n What do we offer: \n\n • \n Starting salary: £87.5k - £111k + RSUs \n • \n Wise Benefits \n\n #LI-AB3 #LI-Hybrid \n Additional Information \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 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 most loved OTA in Europe. 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 The impact you'll have: \n As a Principal Engineer in the Boost team, you'll be part of a group of principal engineers who champion technical excellence. The team acts as an enabling function, not a delivery arm. You will embed in other teams to help them improve and work faster. You will be hands-on, leading by example, and coaching others to drive technical excellence and innovation across the company. Your success will be measured by how you help others succeed. \n Your responsibilities include: \n\n • \n Own the team's functional KPIs, defining the measurable outcomes that show our impact. \n • \n Help mission teams deliver faster, safer solutions by solving complex problems and training others to do the same. \n • \n Champion AI adoption, applying it to both engineering processes and solutions. \n • \n Coach our engineers, guiding their growth. \n • \n Build tools to make the Boost team more effective and improve platform governance. \n\n We are looking for a candidate with strong front-end skills. You will work across the various tech systems within our platform and be confident in your ability to quickly learn new technologies. We value an agile mindset, and a proven track record of delivery with teams. \n For a better understanding of our work, refer to some of our blog posts: \n\n • \n How loveholidays is solving the technical excellence paradox \n • \n Your AI Hates Your Prompts (And So Do You) \n • \n Stop Chasing Ghost Errors: A Systematic Approach to Frontend Error Monitoring That Actually Works \n • \n Does website speed contribute to customers booking holidays online? \n • \n Creating a Zero Surprises Culture \n\n Or our open source contributions: \n\n • \n github.com/loveholidays/ripley \n • \n github.com/loveholidays/phrasebook \n • \n github.com/loveholidays/po-test \n • \n github.com/loveholidays/mcp-html-share \n\n As part of our tech culture, we continuously improve our time to deliver, reduce errors, and generally leave things better than we found them. \n Your day to day: \n You will: \n\n • \n Embed in mission teams to solve hard tech problems, coaching engineers hands-on to instill our core engineering principles. \n • \n Drive initiatives to apply AI to build better solutions and improve our engineering process. \n • \n Build tooling and processes to accelerate and enable our platform development. \n • \n Design and oversee impactful systems that run reliably at cloud scale. \n • \n Write and speak about our tech work to raise our engineering profile. \n\n Your skillset: \n\n • \n Experience with AI-powered feature development and leveraging AI tooling for software delivery, with enthusiasm for transforming how we build and deliver software. \n • \n Demonstrable history of working hands-on with engineering teams to solve complex technical challenges, building team capabilities and promoting sustainable practices. \n • \n Seasoned facilitator who excels at pairing with engineers, leading technical discussions, and helping teams navigate architectural decisions through practical, hands-on collaboration. \n • \n Ability to identify and scale successful technical patterns while connecting technical excellence to measurable business outcomes. \n • \n A track record of building and optimising scalable, high-performance websites. \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. \n The interview journey: \n\n • \n 1st stage interview with a member of our Talent Team \n • \n Introduction to loveholidays Engineering with our VP of Engineering (60 mins) \n • \n Presentation/Case Study with our VP and CTO (60 mins) \n • \n Technical interview with 2 of our Principal or Heads of Engineering (60 mins) \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 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 About the Role: \n Wise is on a mission to create money without borders—making it instant, transparent, and eventually free. To support this rapid global growth, our Finance Squad ensures that our financial processes run in an efficient, scalable, and controlled manner. \n We are looking for a talented Senior Software Engineer II to join our Data Onboarding Team in London. In this role, you will be the driving force behind building, scaling, and optimizing the critical data pipelines on top of our Lakehouse (Trino + Iceberg) infrastructure following a strict Medallion Architecture (Bronze, Silver, Gold layers). You will build robust data pipelines that serve as the foundational bedrock for reporting and assurance across the entire Finance squad. \n The Finance Squad is responsible for steward-shipping the financial truth of Wise. The Data Onboarding team operates alongside Core Accounting, Finance Implementation, and Data & Assurance. Our team's mandate is to abstract product complexity and build reusable, domain-agnostic stream-enrichment pipelines. We handle high-throughput financial event data (processing hundreds of millions of events daily) to bridge the gap between immutable product events and audit-ready data structures. \n What will you be working on? \n Technical Leadership & Pipeline Engineering \n\n • \n Lakehouse Architecture: Design, build, and optimize robust end-to-end data pipelines on top of our Trino + Iceberg Lakehouse stack. \n • \n Medallion Implementation: Own the extraction, cleaning, and modeling layers to progressively refine raw event logs (Bronze) into verified subledgers (Silver) and structured Gold metrics. \n • \n Stream Processing: Work closely with high-throughput messaging queues (Kafka) and real-time computation models to maintain our data freshness SLAs. \n • \n Data Quality & Assurance: Embed rigorous, automated reconciliation checks within the data pipelines (e.g., balance and double-entry validations) to catch data discrepancies before they reach financial reporting layers. \n\n Strategic Impact & Collaboration \n\n • \n Product & Stakeholder Alignment: Partner directly with finance controllers, analysts, product and engineering to turn complex corporate finance needs into production-ready data schemas. \n • \n Platform Alignment: Address data scaling constraints, structural technical debt, and compute optimizations to directly align infrastructure costs with Wise's financial targets. \n\n Mentorship & Engineering Excellence \n\n • Upskilling: Assist and coach mid-level/junior engineers within the team, performing thorough code and technical design reviews.\n\n Must Haves (Hard Skills) \n\n • \n Data Lakehouse Mastery: Proven experience building data infrastructure using Trino / Presto and open table formats like Apache Iceberg or Delta Lake. \n • \n Advanced Data Modeling: Deep expertise in Medallion Architecture patterns, Star Schemas, and processing semi-structured financial data logs (JSON/Avro). \n • \n Robust ETL/ELT Orchestration: Expert proficiency in data transformation engines (such as dbt) and scheduling tools (such as Airflow). \n • \n Stream/Message Queues: Solid understanding of event-driven architectures and streaming processing via Apache Kafka. \n • \n Strong Programming Foundations: Proficiency in Python, SQL, or an Object-Oriented language (Java/Scala). \n\n Nice to Haves \n\n • \n Experience operating data assets within a regulated SOX/PCAOB compliance environment. \n • \n Familiarity with cloud data warehouses (e.g., Snowflake) and cloud compute orchestration. \n • \n Prior domain exposure to financial flows, double-entry ledger systems, or accounting integrations. \n\n Soft Skills \n\n • \n A strong sense of long-term technical ownership. \n • \n Excellent communication skills with the ability to bridge technical engineering realities with financial analyst requirements. \n\n What We Offer / Selling Points \n\n • \n The rare opportunity to help engineer the core "Engine of Trust" for a fast-growing global fintech moving billions in cross-border volume. \n • \n A chance to work beyond isolated data pipelines, building reusable libraries and system-wide framework layers rather than bespoke, one-off fixes. \n • Direct interaction and collaboration with top-tier product minds, data platform engineers, and global financial stakeholders. \n \n\n Interested? Find out more: \n\n • \n How we work – a practical guide \n • \n DEI @ Wise \n • Wise Tech Stack (2025 update)\n\n What do we offer: \n\n • Starting salary: £111k - £145k + RSUs\n, • Wise Benefits\n, • #LI-AB3 #LI-Hybrid\n, • \n Paved Paths: Create structured framework documentation and automated tooling to reduce onboarding friction for new data sources. \n • \n, • \n See what it's like to work at Wise London! \n • \n Our Engineering career map \n • Wise Engineering - https://medium.com/wise-engineering \n \n\n Additional Information \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 Sierra to connect them with exceptional professionals for this role. \n About us \n At Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Tokyo, and Sydney. \n We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. \n Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. \n What You'll Do: \n As a Forward Deployed Infrastructure Engineer at Sierra, and a founding member of this function, you will own the end-to-end lifecycle of customer deployments, while helping define how Sierra’s AI platform is deployed and operated across enterprise environments. You'll work directly with enterprise customers to architect, deploy, upgrade, and manage Sierra's AI platform infrastructure — ensuring every deployment meets their security, compliance, and operational requirements. In addition, you’ll establish the standards, tooling, and processes that make deployments scalable and repeatable, and partner cross-functionally with Engineering, Product, Sales, and Customer Success. This role will define how Sierra scales some of its most complex customer engagements. \n\n • \n Own deployment architecture conversations and execution — designing and implementing deployment strategies across customer environments, including VPC configuration, permissioning, networking, and infrastructure provisioning. \n • \n Manage the full infrastructure lifecycle for some of Sierra’s most critical customers: initial deployment, ongoing upgrades, scaling, and incident support. \n • \n Develop and maintain deployment runbooks, upgrade procedures, and automation tooling to make operations repeatable and reliable. \n • \n Partner with engineering teams to ensure Sierra's platform is deployable and operable across diverse customer requirements. \n • \n Work with customers' platform engineering, security, and DevOps teams to navigate their infrastructure constraints and compliance requirements. \n • \n Collaborate with Sales and Customer Success to scope infrastructure requirements during pre-sales and onboarding, translating customer needs into concrete deployment plans. \n\n What You'll Bring: \n\n • \n 4+ years of experience in infrastructure, DevOps, platform engineering, or solutions architecture roles — with significant time spent on customer-facing deployment work. \n • \n Deep experience with AWS services, Terraform, container orchestration, and cloud networking (VPCs, IAM, DNS, load balancing). \n • \n Track record of managing deployments in customer-owned cloud environments, including navigating security reviews, compliance requirements, and change management processes. \n • \n Ability to navigate ambiguity with enterprise stakeholders — from platform engineers to CISOs — and turn infrastructure conversations into actionable deployment plans. \n • \n Strong operational instincts: you think about upgrades, rollbacks, monitoring, and failure modes from the start, not as an afterthought. \n • \n Comfortable working in a fast-moving environment and collaborating across engineering, product, and go-to-market teams. \n • \n Degree in Computer Science or a related field, or equivalent professional experience. \n\n Even better... \n\n • \n Hands-on experience with Go services, GraphQL APIs, or LLM infrastructure in production environments. \n • \n Past experience at an early-stage company where you built deployment operations, playbooks, and tooling. \n • \n Familiarity with observability and incident management in distributed systems (Prometheus, Grafana, Datadog, or similar). \n • \n Experience with CI/CD pipeline design, deployment automation, or infrastructure self-service tooling for enterprise customers. \n\n Our values \n\n • \n Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. \n • \n Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. \n • \n Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. \n • \n Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. \n • \n Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. \n\n What we offer \n We want our benefits to reflect our values and offer the following to full-time employees: \n\n • \n Flexible (unlimited) paid time off \n • \n Medical, dental, and vision benefits for you and your family \n • \n Life insurance and disability benefits \n • \n Retirement plan dependent on country of employment \n • \n Parental leave \n • \n Fertility and family building benefits through Carrot \n • \n Lunch, as well as delicious snacks and coffee to keep you energized \n • \n Discretionary benefit stipend giving people the ability to spend where it matters most \n • \n Free alphorn lessons \n\n These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. \n Be you, with us \n We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Join us in shaping the future of AI at JPMorganChase, where you can make a real impact by building autonomous agents that solve critical challenges. We value your expertise and encourage you to pioneer new approaches, bridging theory and practice while collaborating with talented teams across the globe to help define how AI transforms the world's largest bank. Experience career growth, mentorship, and the excitement of building next-generation solutions. \n We're developing an AI platform and desktop application that helps users automate their document processing workflows at the world's biggest bank, already operating at hundreds of documents per second and doubling every three months, leveraging agentic systems that are powerful, truly generalizable, and scalable while maintaining security in a highly sensitive enterprise environment. \n As a Machine Learning Engineer in the Applied Artificial Intelligence and Machine Learning team within Commercial & Investment Banking, you will design and deliver production architectures for AI-powered products and services, working at the intersection of software engineering and scientific research to translate innovative ideas into scalable enterprise solutions. You will collaborate with cloud and SRE teams in a role that offers flexibility for individual contributors and optional management responsibilities, depending on your interests and experience. You will help shape the team culture and drive impactful change. \n Job Responsibilities: \n\n • Design and deliver enterprise-grade machine learning systems\n, • Collaborate with cloud and SRE teams to build robust production architectures\n, • Translate scientific research into scalable ML solutions\n, • Develop and deploy business-critical, data-intensive applications\n, • Implement distributed, multi-threaded, and scalable applications\n, • Build, test, and deploy automated pipelines for ML solutions\n, • Leverage foundational libraries and services for re-use across teams\n, • Apply best practices in software engineering and computer science\n, • Utilize MLOps tools for versioning, reproducibility, and observability\n, • Align ML problem definitions with business objectives\n, • Mentor and support team members, with optional management responsibilities\n\n Required Qualifications, Capabilities, and Skills: \n\n • Experience in machine learning engineering roles\n, • Degree in a quantitative discipline (Computer Science, Mathematics, Statistics)\n, • Proven ability to develop and deploy business-critical, data-intensive applications\n, • Extensive experience with AWS and Kubernetes\n, • Proficiency with lower-level libraries such as PyTorch and NumPy\n, • Hands-on experience implementing distributed, multi-threaded, and scalable applications\n, • Experience with automated building, testing, and deployment pipelines\n, • Familiarity with higher-level interfaces like Pydantic AI and Langraph\n, • Strong understanding of computer science fundamentals and development best practices\n, • Broad knowledge of MLOps tooling for versioning, reproducibility, and observability\n, • Ability to understand business objectives and align ML problem definitions\n\n Preferred Qualifications, Capabilities, and Skills: \n\n • Experience mentoring or leading teams\n, • Knowledge of agentic AI concepts\n, • Experience designing reusable libraries and services\n, • Interest in bridging scientific theory and enterprise-grade systems\n, • Passion for innovation and continuous learning\n\n Why Join Us? \n You will be part of a pioneering team that is transforming banking with AI. We offer opportunities for career growth, mentorship, and the chance to work on impactful projects that shape the industry. Your expertise will help us build the next generation of AI solutions, making a difference for our clients and communities worldwide. \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 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 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 About the role: \n\n • Wise is one of the fastest-growing global financial platforms, and as we scale, so does the sophistication of the ML systems protecting every transaction. Our Risk ML team is building the model lifecycle platform that makes it possible to develop, deploy, and monitor ML models for financial crime detection - reliably, reproducibly, and at scale.\n, • We're looking for a Senior ML Platform Engineer to build this platform from the ground up. You'll design the infrastructure that turns model development from a bespoke, manual process into a scalable, standardised one - so our data and applied scientists can focus on improving detection rather than managing operations.\n\n This is a greenfield build with strong investment and direct engagement from Wise's senior leadership. \n How we work: \n\n • Risk ML sits within Wise’s FinCrime organisation, owning the full ML and AI foundation for financial crime detection. We're scaling into three dedicated pillars - Feature Platform, Learning Loop, and Risk Modelling. You'll sit in Risk Modelling, building the platform layer that makes scaling our detection capabilities possible.\n, • You’ll work closely with data scientists, feature platform engineers (upstream infrastructure), and Wise's central ML platform team (shared foundations). We value engineers who build for adoption - internal platforms succeed when teams want to use them.\n\n What will you be working on? \n\n • Designing and building the declarative training pipeline - standardised, config-driven model training that any data scientist can use without writing deployment code\n, • Building model packaging and serving abstraction - a unified interface that handles multiple model types (classical ML, deep learning, emerging architectures) through a consistent API\n, • Implementing the model evaluation framework - standardised metrics, reproducible comparison, and automated validation gates\n, • Building model monitoring - drift detection, performance degradation alerts, automated retraining triggers, and full audit trails for regulatory compliance\n, • Owning the integration layer with Wise's central ML infrastructure - aligning on boundaries so FinCrime-specific lifecycle tooling builds cleanly on shared foundations\n, • Maximising data science productivity - your platform's success is measured by how much time shifts from operational maintenance to improving detection performance\n\n What do you need? \n\n • Experience building ML platform infrastructure in production - training pipelines, model serving, evaluation frameworks, or monitoring systems. Infrastructure that other teams depend on, not individual model work.\n, • Strong software engineering fundamentals - you build reliable, well-tested, maintainable systems. Python, Kotlin/Java, SQL.\n, • Experience with ML orchestration (Airflow, Kubeflow, or equivalent), model registries (MLflow or similar), and container-based deployment\n, • End-to-end understanding of the ML lifecycle - data ingestion through training, packaging, serving, and monitoring - and knowledge of where things break\n, • A product mindset for internal tooling - you think about data scientists as users and build for adoption, not just functionality\n\n Nice to Have: \n\n • Model serving at scale - latency optimisation, ONNX packaging, canary deployments for models\n, • Experience in FinCrime, fraud, AML, or regulated environments where audit trails and model governance are non-negotiable\n, • Experience with model monitoring and drift detection systems in production\n, • Track record of migrating teams from manual ML workflows to platform-based approaches\n\n Interested? Find out more: \n\n • \n How we work – a practical guide \n • \n DEI @ Wise \n • \n Wise Tech Stack (2025 update) \n • \n See what it's like to work at Wise London! \n • \n Our Engineering career map \n • \n Wise Engineering – https://medium.com/wise-engineering \n\n What do we offer: \n\n • \n Starting salary: £111,000 - £145,000 + RSUs \n • \n Wise Benefits \n\n #LI-AB3 #LI-Hybrid \n Additional Information \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 As a part of the UK Security Operations (SecOps) team in Google Public Sector, you will deliver, operate and secure private cloud services. Your aim is to provide the flexibility, reliability, and scalability of public cloud for customers with exceptionally high security requirements that can only be met in a private cloud environment. You will deliver and operate these private cloud deployments for the most critical customers, helping scale, secure and maintain the deployment whilst working closely with Google product teams to continually improve our technology. \n As a Red Team Engineer, you will play a critical role in designing, building, and managing cloud-native security platforms with a strong emphasis on Kubernetes-based environments. You will be at the intersection of security and engineering—developing scalable tooling and automating security controls to enable Red Team activities, Purple Team exercises, and comprehensive attack path reviews. You will build and maintain the platforms necessary for developing and deploying proof-of-concept (PoC) exploits and validations, ensuring detection and response capabilities across cloud infrastructure. \n In this engineering-centric role, you will require deep technical expertise in cloud environments, Kubernetes security, and platform automation. You will work closely with Incident Response, Platform Engineering and Security Architects to ensure that security validation and defensive hardening are seamlessly integrated into infrastructure and operational workflows. Your role will require participation in a rotating on-call schedule outside of core business hours and over the weekend to ensure security incidents and critical operations can be supported. \n Minimum qualifications: \n\n • Bachelor's degree in Computer Science, Information Security, a related field, or equivalent practical experience.\n, • 5 years of experience in security engineering, offensive security (Red Team/Purple Team), or platform engineering roles.\n, • Experience with infrastructure-as-code and GitOps (e.g., Terraform, Helm, ArgoCD) and cloud-native security orchestration.\n, • Experience with Kubernetes security (e.g., workload isolation, RBAC, network policies) and container orchestration.\n, • Experience in scripting and development languages (e.g., Python, Go) for building custom security tooling, automation, and exploit Proof-of-Concept (PoCs).\n, • Active, or the ability to obtain, a Developed Vetting (DV) UK security clearance.\n\n Preferred qualifications: \n\n • Advanced offensive security certifications (e.g., OSCP, OSEP, OSCE, GXPN).\n, • Experience in conducting full-scope Red Team engagements and Purple Team exercises in cloud-native environments.\n, • Experience developing custom exploits, adversary emulation scenarios, or security automation frameworks for internal testing.\n, • Knowledge of cloud-native logging, monitoring, and Security Information and Event Management (SIEM) integration for detecting sophisticated adversary tactics.\n, • Understanding of Kubernetes attack surfaces, including container escapes, privilege escalation, and lateral movement techniques.\n, • Current and active UK Developed Vetting (DV) Security Clearance.\n\n Responsibilities: \n\n • Design, develop, and maintain the automation platforms and tooling required to execute Red Team operations, Purple Team exercises, and comprehensive attack path reviews.\n, • Create and deploy Proof-of-Concept (PoC) exploits and validations to proactively test and harden cloud infrastructure security.\n, • Collaborate with security engineering and platform teams to build scalable security validation frameworks that integrate seamlessly into CI/CD pipelines.\n, • Analyse complex cloud and Kubernetes architectures to identify and document potential attack vectors, mapping them against threat models to prioritise security improvements.\n, • Support defensive hardening efforts by providing actionable insights and telemetry from security validation exercises, ensuring continuous improvement of detection and response capabilities.\n\n Must be a British citizen to meet compliance and security clearance requirements. Office location can either be a satellite site in Wiltshire, or London. This is an on-site position, requiring a standard five day per week schedule in the office

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're looking for a Lead Analytics Engineer to join our Analytics Experience team in London. \n Wise has already pioneered new ways for people to transfer money across borders and currencies. Our customers can also manage their hard-earned money with the world's first platform to offer true multi-currency banking. Your mission is to help us build better products, faster by making it easy for Wisers to get insights from data. \n At Wise, we have over 130 Analysts and more than 2,500 weekly active users of our Business Intelligence Tools. As a Lead Analytics Engineer, you'll be crucial in ensuring it's easy to find the right data quickly. \n Here's how you'll be contributing to the Analytics Engineering team: \n\n • \n Lead and Mentor: You will work closely with Analysts within one of Wise's squads, spending significant time mentoring them directly to establish best practices around infrastructure, monitoring, testing, and data modelling. \n • \n Strategic Roadmap: You will take ownership of defining and driving the data infrastructure roadmap for your assigned tribe, ensuring strategic alignment and efficient execution. \n • \n Core Data Sets: You will play a key role in building and maintaining core datasets, ensuring data quality and accessibility. \n • \n Tooling Evangelist: Become the go-to expert for new tooling like dbt & AI applications, leading its adoption and successful rollout across the organization. \n • \n Best Practices Driver: Strategically assess and implement data modelling best practices within your squad, elevating our data capabilities. \n\n Qualifications \n What do I need to bring to the role? \n\n • \n Technical Expertise: Advanced proficiency in SQL and Python is a must. \n • \n Data Pipelining & Modelling: Proven experience in building robust analytics pipelines and designing effective data models. \n • \n Orchestration Mastery: Hands-on experience using an orchestration tool like Airflow. \n • \n Project Leadership: Strong capabilities in project management and communication, with a track record of driving initiatives. \n • \n Impactful Storytelling: Excellent storytelling ability with data, translating complex insights into clear, actionable narratives. \n • \n Python Development: Demonstrated ability to build practical solutions using Python. \n • \n Stakeholder Empathy: You're able to build strong empathy for your stakeholders and internal customers, proactively identifying and solving their problems. \n • \n BI Tooling: A driver of best practices regarding Business Intelligence Tools like Looker or Superset. \n\n This is a Lead Analytics Engineer role. For more information on our Analytics Career Map and levelling structure, click here \n Additional Information \n Our Offer \n\n • \n Base salary: £85-125k gross / year base (based on experience & interview outcomes) \n • \n Restricted Stock Units (RSUs) \n • \n Numerous amount of best in class benefits \n • \n Flexible working - whether it’s working from home, school plays or life admin we get that flexibility is essential and you’re trusted to do the right thing and be responsible \n • \n Paid annual holiday, sick days, parental leave and other leave opportunities \n • \n 6 weeks of paid sabbatical after 4 years at Wise on top of annual leave \n\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 Version 1 to connect them with exceptional professionals for this role. \n Company Description \n Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. \n We’re an award-winning employer reflecting how our employees are at the very heart of what we do: \n\n • UK & Ireland's premier AWS, Microsoft & Oracle partner \n, • 3300+ strong, €350/£300m revenue business \n, • 10+ years as a Great Place to Work in Ireland & UK \n, • Best Workplace for Women in the UK & Ireland by GPTW \n, • Best Workplace for Wellbeing in the UK by GPTW \n\n We’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you!. \n Job Description \n We are seeking an experienced Senior Java Engineer to join our UK Digital Data & Cloud Practice. Our Digital Practice is expanding rapidly and you will have the opportunity to achieve medium and long-term career goals. You will be working for one of our high-profile trading clients within the financial services domain, contributing hands-on to a Java-based development team supporting a high-volume message processing environment. \n The team is heavily Java-focused, operating within a client ecosystem that relies extensively on Kafka, Kubernetes/OpenShift, caching solutions, REST APIs, and high-throughput distributed systems. You will bring deep, practical experience in scaling systems that process millions of messages per day and strong problem-solving capability across complex backend challenges. \n Responsibilities \n Technical Delivery \n\n • Design, develop, and maintain high-quality backend components in Java, with a focus on performance and resilience.\n, • Contribute hands-on to complex features across messaging, caching, and distributed processing layers.\n, • Troubleshoot and resolve issues related to sequencing, recovery, message failures, and large-volume processing.\n, • Support releases, deployments, and production stability activities.\n, • Adhere to CI/CD pipelines, code quality standards, and operational readiness requirements.\n, • Apply performance, security, and resilience best practices, particularly around large-scale message handling.\n\n Collaboration \n\n • Work closely with the Technical Lead and peers to deliver against team objectives.\n, • Contribute to technical discussions, design reviews, and knowledge sharing within the team.\n, • Raise risks, blockers, and progress updates clearly within the team.\n\n Qualifications \n\n • Experience working on trading or financial platforms that process millions of messages per day, with strong awareness of non-functional requirements such as latency, resiliency, throughput optimisation, failover handling, and backpressure management.\n, • Experience designing and developing cloud-native applications with a microservices architecture running on Docker/OpenShift/Kubernetes.\n, • Strong application development skills in Java, SQL (SQL Server, Oracle, etc.) and messaging platforms such as Kafka and MQ.\n, • Experience with the Spring framework and Spring Boot technologies.\n, • Experience in Java REST API development and application security best practices (OAuth, JWT, etc.).\n, • Experience with build and source control tools: Gradle, Maven, Git/Bitbucket.\n, • Experience with caching services such as Redis.\n, • Awareness of AI coding assistants such as GitHub Copilot, Cursor, or Claude to accelerate development, generate boilerplate, and review code.\n, • Ability to apply AI tooling critically - validating, refactoring, and integrating AI-generated code rather than accepting output uncritically.\n, • Awareness of prompt engineering techniques relevant to software development workflows (code generation, test writing, documentation, debugging).\n, • Experience working in an Agile/Scrum environment.\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. \n Version 1 is an equal opportunities employer. \n \n We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring. \n \n We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process, please contact [recruiter email address] at Version 1. We will consider all requests carefully, respectfully and confidentially. \n Video links: \n https://www.youtube.com/watch?v=F_d3ELTH5zo

hackajob is collaborating with BAE Systems Digital Intelligence to connect them with exceptional professionals for this role. \n Location(s): [[mfield3]] \n BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. \n Site Reliability Engineering is a rapidly growing concept in industry, with a remit to drive the quality, reliability and performance of essential systems. As a Site Reliability Engineer you'll be part of a team in BAE Systems at the forefront of this, delivering these benefits to a key national security customer. We are in the process of building our team and tools, and with your help will create a culture of continual improvement to revolutionise the way our customer’s systems are built and maintained. This role blends operational product support with software engineering to create applications to understand the overall health of our systems. The SRE team sits within a wider programme at the core of the customer mission. \n The role holder: \n As an SRE, fundamentally you will be doing work that has historically been done by an operations team, but using software and systems engineering expertise to substitute automation for human labour, with the objective of limiting traditional manual operations work (incident tickets, on-call etc.) to no more than half of the SRE team's time (and aiming for considerably less). You will have an enthusiasm to learn and experiment, to develop tools to understand application health and improve their reliability to support the customer mission. \n Role accountabilities include: \n Supporting and maintaining essential service that support core mission applications, proactively enhancing their availability, performance and stability. \n Being part of the 24/7 on call rota, supporting critical production systems out of business hours, for which additional on call allowances and overtime benefits will be paid. \n Finding innovative solutions to problems rather than undertaking repetitive work, automating everything you can. You will work alongside development teams, advising them of good practice in how to design and build systems, learning from what you know works well. \n You will design and deploy monitoring products, creating bespoke tools where required, to provide comprehensive and intelligent observations to meet the customer requirements and demonstrate the improvements the team are making on a daily basis. You will be well versed in the relationship between software and infrastructure, understanding the characteristics of systems that enable them to be scalable and resilient to failure, and how to get the best out of the infrastructure they are deployed to. \n Participating in the wider DevOps/SRE community within the organisation. \n Competancies \n It is desirable for you to have experience in the areas below. However more valued for this role is that you have excitement and enthusiasm to learn new technologies, and to deal with hard problems. Training, knowledge sharing and on the job development will enable you to plug any knowledge gaps. \n o Software development in web technologies and object oriented programming \n o Database technologies such as Oracle SQL, Mongo, Postgres \n o Know your way around Linux and Windows command lines, e.g. Bash and PowerShell \n o Monitoring large systems using technologies such as Grafana, Prometheus, ELK, Splunk \n o Experience of working in Agile teams, and the tooling that supports it, e.g. Atlassian \n o Diagnosing and troubleshooting application issues resulting in service outages \n o Troubleshooting skills across different levels of the stack \n o Understanding of ITIL \n o Micro-services architectures, Docker and container platforms such as Openshift, Kubernetes \n Awareness and insight into technology trends to adopt new cutting edge tools \n Security Clearance \n Due to the nature of our work, successful candidates for this role will be required to hold an active eDV before applying for this opportunity. \n Life at BAE Systems Digital Intelligence \n We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. \n By embracing technology, we can interact, collaborate and create together, even when we’re working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance well-being. \n Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds – the best and brightest minds – can work together to achieve excellence and realise individual and organisational potential. \n Division overview: Capabilities \n At BAE Systems Digital Intelligence, we pride ourselves in being a leader in the cyber defence industry, and Capabilities is the engine that keeps the business moving forward. It is the largest area of Digital Intelligence, containing our Engineering, Consulting and Project Management teams that design and implement the defence solutions and digital transformation projects that make us a globally recognised brand in both the public and private sector. \n As a member of the Capabilities team, you will be creating and managing the solutions that earn us our place in an ever changing digital world. We all have a role to play in defending our clients, and this is yours.

hackajob is collaborating with Solirius Reply to connect them with exceptional professionals for this role. \n About Us: \n Solirius Reply, part of the Reply Group, delivers technical consultancy and application delivery to our clients in order to solve real world problems and allow our clients to respond to an ever-changing technical landscape. We partner closely with our clients, embedding our consultants into their businesses in order to provide a bespoke service, allowing us to truly understand our clients’ needs. \n It is this close collaboration with our clients that has enabled us to grow rapidly in recent years and will drive our ambitious future growth plans. We currently have over 300 consultants working with a variety of key clients from both the public and private sectors such as the Ministry of Justice, Department for Education, FCDOS, UEFA, International Olympic Committee and Mercedes Benz; with plans to increase our client base further in the near future. \n We operate as a flat organisation and believe in trusting and supporting our team to operate independently. We pride ourselves on being specialists at what we do, making the most of our consultants’ expertise in their fields in order to provide a best-in-class service to our clients. All our consultants have the opportunity to work on a range of different projects, providing a broad range of knowledge on which to develop their careers and progress in the direction they choose. \n About You: \n You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you’re comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. You understand and align with Solirius Reply Values \n The Role: \n We are seeking a highly skilled Java Engineer with AI expertise to design, develop, and deploy intelligent, scalable applications. You will work at the intersection of backend engineering and artificial intelligence, building systems that integrate machine learning models, data pipelines, and cloud-native services. \n This role is ideal for someone passionate about clean architecture, performance optimization, and applying AI technologies to real-world business challenges. \n Requirements \n Key Responsibilities \n\n • Design, develop, and maintain high-performance Java-based applications\n, • Integrate AI/ML models into production-grade backend systems\n, • Build RESTful APIs and microservices using modern Java frameworks\n, • Collaborate with data scientists to deploy and scale machine learning solutions\n, • Optimise system performance, scalability, and security\n\n\n, • Implement CI/CD pipelines and ensure high code quality standards\n, • Work with cloud platforms to deploy AI-powered services\n, • Contribute to architecture decisions and technical roadmaps\n, • Design, develop, and maintain high-performance Java-based applications\n, • Integrate AI/ML models into production-grade backend systems\n, • Build RESTful APIs and microservices using modern Java frameworks\n, • Collaborate with data scientists to deploy and scale machine learning solutions\n, • Optimise system performance, scalability, and security\n, • Implement CI/CD pipelines and ensure high code quality standards\n\n\n, • Work with cloud platforms to deploy AI-powered services\n, • Contribute to architecture decisions and technical roadmaps\n\n Required Qualifications \n\n • Strong experience with Java 12+, Spring Boot, and microservices architecture\n, • Experience integrating AI/ML solutions into backend systems\n, • Understanding of REST APIs, distributed systems, and database design\n, • Familiarity with SQL and NoSQL databases\n, • Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure)\n, • Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes\n, • Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries)\n, • Strong problem-solving and communication skills\n\n Preferred Qualifications \n\n • Experience with NLP, computer vision, or recommendation systems\n, • Familiarity with MLOps practices and model lifecycle management\n, • Knowledge of event-driven architectures (Kafka or similar)\n, • Experience with DevOps tooling and infrastructure as code\n, • Exposure to Generative AI and large language models\n\n Benefits \n What We Offer: \n\n • Competitive Salary\n, • Bonus Scheme\n, • Private Healthcare Insurance\n, • 25 Days Annual Leave + Bank Holidays\n, • Up to 10 days allocated for development training per year\n, • Enhanced Parental Leave\n, • Paid Fertility Leave (5 Days)\n, • Statutory & Contributory Pension\n, • EAP with Help@Hand\n, • Gym Membership Benefits\n, • Flexible Working\n, • Annual Away Days/Company Socials\n\n Equality & Diversity: \n Solirius Reply is an equal opportunities employer. We are committed to creating a work environment that supports, celebrates, encourages, and respects all individuals and in which all processes are based on merit, competence and business needs. We do not discriminate on the basis of race, religion, gender, sexuality, age, disability, ethnicity, marital status or any other protected characteristics. \n Should you require further assistance or require any reasonable adjustments be put in place to better support your application process, please do not hesitate to raise this with us.

hackajob is collaborating with Just Eat to connect them with exceptional professionals for this role. \n Ready for a challenge? \n Then Just Eat Takeaway.com might be the place for you. We’re a leading global online delivery platform, and our vision is to empower everyday convenience. \n Whether it’s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe \n About this role \n We're looking for an experienced Senior Data Engineer to join the Insights & Enablement team within Retail Media Tech at JET. This team sits at the heart of JET's retail media data platform, responsible for the infrastructure, pipelines, and data products that power how advertisers understand, optimise, and grow their campaigns on the JET platform. \n This is not a typical Senior Data Engineer role. You'll work across the full stack of modern data engineering ranging from event streaming and attribution pipelines to Gold Layer data marts and AI-powered tooling and you'll help shape the technical foundation that underpins our retail media platform at scale. You'll partner closely with data scientists, analytical engineers, product managers, and ML engineers to turn complex data challenges into reliable, scalable production systems. \n We're building a lot: a TopRank Sponsored Listings data platform on BigQuery and dbt, a semantic layer serving Tableau and Looker Studio, Snowplow-based event attribution infrastructure, and agentic AI tooling for Post-Campaign Analysis. You'll have the opportunity to work on all of it. \n Critically, this role operates in a highly cross-functional environment. You'll work alongside JET's central Data & Analytics organisation, Platform Engineering, and other technology teams aligning on shared infrastructure standards, contributing to joint working groups, and ensuring retail media data products integrate cleanly with the broader JET data ecosystem. \n As a senior member of the team, you'll do more than code you'll help define best practices, mentor engineers, and raise the technical bar across the team. \n These are some of the key components to the position: \n\n • Design and build scalable data pipelines and event streaming architectures across batch and near-real-time workloads, with a focus on reliability and data quality.\n, • Develop and maintain Gold Layer data marts in BigQuery using dbt Core, with a strong grasp of top-down/bottom-up data modelling methodologies (Kimball, OBT, or equivalent).\n, • Build and maintain Airflow-orchestrated ELT workflows across the retail media data platform, including attribution pipelines supporting campaign performance and incrementality measurement.\n, • Contribute to Retail Media event tracking infrastructure, schema governance, SLA/SLO monitoring, and data quality validation across the unified events pipeline.\n, • Support the development of a semantic layer (Cube.dev/Helix) bridging BigQuery Gold tables to downstream BI tooling.\n, • Begin to contribute to architecture discussions beyond your immediate team, identifying improvement points in individual components and the system as a whole, with a clear path to shaping platform-level decisions at Staff level.\n, • Embed DataOps best practices across the team: CI/CD, testing, observability, data drift monitoring, and incident response using tools like Grafana and Datadog.\n, • Collaborate with ML engineers and data scientists to productionise models and agentic tooling built on internal AI platforms, with hands-on use of AI-assisted development tools such as Claude.ai, OpenAI, GitHub Copilot, and Cursor as part of your everyday engineering workflow.\n, • Work cross-functionally with Data & Analytic\n, • s, Platform Engineering, and other JET technology teams, contributing to shared standards, joint initiatives, and platform-level decisions that affect the broader data estate.\n, • Mentor engineers within the team and contribute to technical documentation, decision-making frameworks, and engineering standards.\n\n What will you bring to the team? \n\n • \n Demonstrable senior-level experience building and delivering data engineering solutions, including distributed systems, event-driven architectures, and large-scale data processing (batch and streaming). \n • Strong Python skills and solid SQL across BigQuery or equivalent cloud data warehouses; familiarity with Scala or Java is a plus.\n, • Deep expertise in data pipeline design: batch vs. streaming, ETL/ELT, schema design, partitioning, and efficient storage patterns.\n, • Hands-on experience with dbt Core (or dbt Cloud) and Airflow for orchestration and transformation at scale.\n, • Solid grounding in data warehouse and data lake architecture, including dimensional modelling and layered architectures (Gold/Silver/Bronze or equivalent).\n, • Production experience with GCP (BigQuery, Dataflow, GCS) and AWS (S3, Iceberg, Kinesis, DynamoDB), you're comfortable operating across both clouds. \n, • Familiarity with OLAP and OLTP storage systems and an eagerness to build expertise in stream processing technologies such as Apache Flink, Kafka, or Spark. (Nice to have: ClickHouse.)\n, • Familiarity with observability tooling such as Grafana or Datadog, and a good instinct for keeping systems healthy and well-monitored.\n, • Active engagement with the evolving AI/ML tooling landscape — you integrate AI-assisted development tools (Claude.ai, OpenAI, GitHub Copilot, Cursor, or equivalent) into your daily workflow and are curious about how LLMs and agentic systems are reshaping how data products are built and operated.\n, • A track record of contributing to and shaping design decisions beyond your own work, through standards, technical documentation, or supporting the growth of colleagues.\n, • Comfortable working across a matrixed, cross-functional environment, able to operate effectively within shared platforms, align with central teams, and shape technical decisions beyond Insights & Enablement\n\n At JET, this is how we play \n Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. \n Being the best at what we do isn’t just about delivering on our strategy. It's a competition for something incredibly valuable – our customers' choice. Every time a customer decides where to order, they're picking a side. \n At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers’ loyalty, again and again. \n Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we’re building a customer-first culture which enables us to stay one step ahead of the competition. \n Inclusion, Diversity & Belonging \n No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. \n What else is cooking? \n Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels. \n Are you ready to take your seat? Apply now! \n #LI-NB2

hackajob is collaborating with Kingfisher to connect them with exceptional professionals for this role. \n We’re Kingfisher, A team made up of over 74,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koctas to life. Guided by our purpose Better Homes. Better Lives. For Everyone. We believe a better world starts with better homes, and we work every day to make that a reality. Join us and help shape the future of home improvement. \n This is an opportunity to make a significant impact across one of the largest retail groups in Europe. We are looking for a Machine Learning Engineer who will support the delivery and operationalisation of advanced artificial intelligence solutions created by our Group AI team. Your work will help shape how millions of customers and colleagues experience our products, services and decision making across our retail brands. \n You will work as part of a high performing engineering team to build scalable machine learning systems, ensuring models are robust, efficient and suitable for a live environment. You will collaborate with engineering, product and architecture colleagues to improve tools, processes and practices that accelerate the use of artificial intelligence across the organisation. \n Key Accountabilities / Responsibilities: \n\n • Develop machine learning models and support their deployment into production\n, • Write production quality code that is robust, efficient and maintainable\n, • Contribute to the implementation and improvement of pipelines, tooling and automation\n, • Apply good engineering standards and practices in model development\n, • Monitor performance and contribute to ongoing optimisation of models\n, • Work with colleagues to understand requirements and priorities\n, • Share knowledge, contribute ideas and support a collaborative team culture\n\n\n, • Good understanding of computer science fundamentals, including data structures, algorithms and software design\n, • Practical experience with classical machine learning techniques and an awareness of modern approaches such as natural language processing and deep learning\n, • Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter\n, • Experience working with SQL and data pipelines to prepare and transform data for model training\n, • Understanding of model evaluation, monitoring and improving performance in a production environment\n, • Familiarity with tools and practices for deploying models, ideally including Git, CI workflows and containerisation\n, • Comfortable working with statistical concepts to interpret data and assess model performance\n, • Ability to work collaboratively, communicate clearly and deliver work to agreed outcome\n\n How We Work \n We believe in flexibility and balance. Our hybrid model blends home working for focus with time spent connecting and collaborating - whether in our offices or at offsite locations. On average within our Engineering team - 40% of your time involving in-person collaboration. \n We value the perspectives new team members bring and encourage you to apply - even if you don’t meet 100% of the requirements. \n What We Offer \n An inclusive environment where your potential is limited only by your imagination. We encourage new ideas, support experimentation, and strive to create a workplace where everyone can be their best self. Find out more about Diversity & Inclusion at Kingfisher here \n We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career. Scroll down below to find out more about our benefits. \n Diversity & Inclusion \n Our customers come from all walks of life - and so do we. We’re committed to ensuring all colleagues, future colleagues, and applicants are treated equally, regardless of age, gender, marital or civil partnership status, ethnicity, culture, religion, belief, political opinion, disability, gender identity, gender expression, or sexual orientation. \n Interested? Great, apply now and help us to Power the Possible. \n #LI-TB1 #LI-HYBRID

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 About the role \n We’re looking for a seasoned, senior Data Engineer with a strong software engineering background to join our Scalable Growth team within the Global Product Tribe. \n In this role, you’ll report directly to the Scalable Growth Engineering Lead while embedding day-to-day with the Marketing Platform team. You will serve as the technical authority on data architecture, bridging the gap between platform engineering and analytics engineering. You’ll bring maturity, resilience, and scalability to our data infrastructure—building and shaping systems that handle high-volume streaming and batch data to fuel our global marketing engine. \n If you thrive in an environment where you can scope complex problem spaces, mentor engineers in data best practices, and directly impact how Wise attracts millions of customers globally, this is the role for you. \n How we work \n Scalable Growth is dedicated to building enabling technology that helps Wise acquire customers at the lowest possible cost. \n Within this space, the Marketing Platform team owns the data pipelines, internal tools, and integrations with third-party vendors (e.g., Meta, Google) that power our acquisition channels. As our dedicated data lead, you’ll work cross-functionally with engineers, product managers, digital analytics leads, and marketing stakeholders (Paid, Organic, CRM) to transform our marketing data infrastructure into a true platform product. \n What will you be working on? \n\n • \n Drive Data Architecture & Resilience: Audit, map out, and elevate our current data pipelines and streaming architectures. Establish best practices for monitoring, reliability, and scale across our data ecosystem (using Python, dbt, Airflow, Kafka, and Trino/Iceberg). \n • \n Build the Unified Customer View: Productionize PoCs into scalable Airflow/dbt data workflows to lay the groundwork for our Customer Data Platform (CDP) datasets. \n • \n Bridge Engineering & Analytics: Partner with analytics leads to define clear boundaries and standards for data ingestion, cleansing, and transformation—bringing a strong analytics engineering mindset (specifically via dbt) to raw data landing. \n • \n Own MarTech Infrastructure: Work alongside Engineering Leads to bring technology ownership of MarTech systems (e.g., Braze, HighTouch reverse ETL) in-house, building end-to-end solutions rather than isolated data plumbing. \n • \n Technical Scoping & Discovery: Take ownership of broad, ambiguous problem spaces. Uncover hidden challenges, propose robust architectural designs, and execute your own roadmap. \n • \n Coach & Mentor: Elevate the data capabilities of software engineers in the squad through code reviews, architectural guidance, and hands-on mentoring. \n\n Qualifications \n Qualifications \n What do you need? \n We are fully aware that it is uncommon for a candidate to have all skills required, and we fully support everyone in learning new skills with us. So if you have some of those listed below and are eager to learn more, we do want to hear from you! \n\n • \n Python & Big Data Expertise: Advanced proficiency in Python and proven experience architecting, deploying, and maintaining Big Data and streaming/batch pipelines (e.g., Kafka Streams, Event Streaming, Trino, Iceberg). \n • \n dbt & Airflow Proficiency: Hands-on experience using dbt for scalable data transformations and Airflow for workflow orchestration. \n • \n Data Architecture Mastery: A strong background in designing scalable, fault-tolerant data architectures, implementing data quality frameworks, and establishing production best practices. \n • \n Product & Discovery Mindset: Ability to take a vague problem statement, independently uncover the requirements, scope project milestones, and drive solutions end-to-end. \n • \n Cross-functional Stakeholder Management: Excellent communication skills with the ability to bridge tech, marketing, and analytics, turning marketing needs into crisp engineering roadmaps. \n\n Nice to Have: \n\n • \n Experience with MarTech tooling or reverse ETL setups (e.g., HighTouch, Braze, vendor API integrations). \n • \n Familiarity with modern AI/ML data integration practices. \n • \n Background in fintech or fast-scaling tech platform environments. \n\n Additional Information \n Additional Information \n Interested? Find out more: \n\n • \n Wise Tech Stack \n • \n Wise Engineering Blog \n • \n Engineering career map \n\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. Keep up to date with life at Wise by following us on LinkedIn and Instagram. \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 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 About the role \n We’re looking for a seasoned, senior Data Engineer with a strong software engineering background to join our Scalable Growth team within the Global Product Tribe. \n In this role, you’ll report directly to the Scalable Growth Engineering Lead while embedding day-to-day with the Marketing Platform team. You will serve as the technical authority on data architecture, bridging the gap between platform engineering and analytics engineering. You’ll bring maturity, resilience, and scalability to our data infrastructure—building and shaping systems that handle high-volume streaming and batch data to fuel our global marketing engine. \n If you thrive in an environment where you can scope complex problem spaces, mentor engineers in data best practices, and directly impact how Wise attracts millions of customers globally, this is the role for you. \n How we work \n Scalable Growth is dedicated to building enabling technology that helps Wise acquire customers at the lowest possible cost. \n Within this space, the Marketing Platform team owns the data pipelines, internal tools, and integrations with third-party vendors (e.g., Meta, Google) that power our acquisition channels. As our dedicated data lead, you’ll work cross-functionally with engineers, product managers, digital analytics leads, and marketing stakeholders (Paid, Organic, CRM) to transform our marketing data infrastructure into a true platform product. \n What will you be working on? \n\n • \n Drive Data Architecture & Resilience: Audit, map out, and elevate our current data pipelines and streaming architectures. Establish best practices for monitoring, reliability, and scale across our data ecosystem (using Python, dbt, Airflow, Kafka, and Trino/Iceberg). \n • \n Build the Unified Customer View: Productionize PoCs into scalable Airflow/dbt data workflows to lay the groundwork for our Customer Data Platform (CDP) datasets. \n • \n Bridge Engineering & Analytics: Partner with analytics leads to define clear boundaries and standards for data ingestion, cleansing, and transformation—bringing a strong analytics engineering mindset (specifically via dbt) to raw data landing. \n • \n Own MarTech Infrastructure: Work alongside Engineering Leads to bring technology ownership of MarTech systems (e.g., Braze, HighTouch reverse ETL) in-house, building end-to-end solutions rather than isolated data plumbing. \n • \n Technical Scoping & Discovery: Take ownership of broad, ambiguous problem spaces. Uncover hidden challenges, propose robust architectural designs, and execute your own roadmap. \n • \n Coach & Mentor: Elevate the data capabilities of software engineers in the squad through code reviews, architectural guidance, and hands-on mentoring. \n\n Qualifications \n Qualifications \n What do you need? \n We are fully aware that it is uncommon for a candidate to have all skills required, and we fully support everyone in learning new skills with us. So if you have some of those listed below and are eager to learn more, we do want to hear from you! \n\n • \n Python & Big Data Expertise: Advanced proficiency in Python and proven experience architecting, deploying, and maintaining Big Data and streaming/batch pipelines (e.g., Kafka Streams, Event Streaming, Trino, Iceberg). \n • \n dbt & Airflow Proficiency: Hands-on experience using dbt for scalable data transformations and Airflow for workflow orchestration. \n • \n Data Architecture Mastery: A strong background in designing scalable, fault-tolerant data architectures, implementing data quality frameworks, and establishing production best practices. \n • \n Product & Discovery Mindset: Ability to take a vague problem statement, independently uncover the requirements, scope project milestones, and drive solutions end-to-end. \n • \n Cross-functional Stakeholder Management: Excellent communication skills with the ability to bridge tech, marketing, and analytics, turning marketing needs into crisp engineering roadmaps. \n\n Nice to Have: \n\n • \n Experience with MarTech tooling or reverse ETL setups (e.g., HighTouch, Braze, vendor API integrations). \n • \n Familiarity with modern AI/ML data integration practices. \n • \n Background in fintech or fast-scaling tech platform environments. \n\n Additional Information \n Additional Information \n Interested? Find out more: \n\n • \n Wise Tech Stack \n • \n Wise Engineering Blog \n • \n Engineering career map \n\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. Keep up to date with life at Wise by following us on LinkedIn and Instagram. \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 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 About the role \n We are looking for a passionate Senior Data Engineer II to join the Treasury Global Liquidity team and help design the foundations of the real-time liquidity observability stack and core business functions served by the team. \n In this role, you will be responsible for delivering key initiatives, contributing to setting the technical strategy of the team, and ensuring we build robust and scalable systems while promoting a culture of innovation and continuous improvement. \n You will have a direct and measurable impact across multiple Wise products, owing to the core position of the team’s domain in ensuring our platform scales efficiently. \n How do we work? \n At Wise, we work in autonomous, cross-functional teams. As an Engineering Lead, you will work in a highly collaborative environment, partnering closely with Product Managers, Analysts, Data Scientists and key stakeholders in our Treasury and Finance teams. Together, you will define the strategy, shape the roadmap, and deliver impactful solutions that advance our mission. \n What will you be working on? \n Elevated Customer Experience: \n Lead the development of a reliable, real-time view of our liquidity for multiple products. \n Enable the transition of the customer experience from pre-determined restrictions and delays to an intelligent, dynamic model. \n Financial Strength and Resilience: \n Design and implement advanced monitoring systems to optimize financial resource management systems, directly contributing to operational efficiency gains. \n Strengthen our foundational scaling strategy, allowing us to operate with greater agility and confidence as we grow. \n Controlled and Intelligent Scalability: \n Engineer sophisticated, fine-grained control mechanisms to manage liquidity utilization effectively. \n Ensure the rapid processing of high-value transactions while maintaining robust, strategic controls to manage flow as needed. \n Automated Investment and Risk Management Tooling: \n Develop systems that automate the investment of surplus cash while adhering to strict risk and regulatory parameters. \n Collaborate with data scientists and help develop machine learning to forecast future cash inflows and outflows across all currencies and jurisdictions with high accuracy, enabling proactive and optimal cash positioning and minimizing idle balances. \n What do you need? \n We are seeking a proven Data Engineer who thrives on complexity. The ideal candidate combines architectural depth in distributed systems with a sharp commercial and product intuition, capable of navigating the intricate trade-offs between financial cost, operational risk, and customer experience. \n Qualifications: \n • You have a strong background in software engineering, with proven experience designing, building, and operating complex and reliable event-driven systems in a production environment. \n • You are comfortable working on a complex and high-stakes domain, such as treasury, payments, or finance, and can guide a team through its unique technical challenges. \n • You have a strong sense of ownership and the ability to think beyond technical implementation to understand how your team's work directly impacts business risk, cost, and customer satisfaction. \n • You have experience working closely with product and stakeholders to define requirements and prioritize the most impactful work. \n • You have demonstrable experience leading and mentoring engineers across diverse domains and levels. You possess the skills to guide towards a high-performing team that is collaborative, supportive, and passionate about achieving goals. \n • You lead by example, inspiring your team to produce high-quality, maintainable code and uphold high engineering standards. \n • You are an excellent communicator, capable of articulating complex technical concepts clearly to both technical and non-technical audiences. \n Interested? Find out more: \n\n • \n How we work – a practical guide \n • \n DEI @ Wise \n • \n Wise Tech Stack (2025 update) \n • \n See what it's like to work at Wise London! \n • \n Our Engineering career map \n • \n Wise Engineering – https://medium.com/wise-engineering \n\n What do we offer: \n\n • \n Starting salary: £111k - £145k + RSUs \n • \n Wise Benefits \n\n #LI-AB3 #LI-Hybrid \n Additional Information \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 J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. \n As a Lead Software Engineer at JPMorganChase within the Commercial and Investment Bank - Post Trade Technology Group, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. \n Job responsibilities \n\n • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems\n, • Develops secure high-quality production code, and reviews and debugs code written by others\n, • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems\n, • Leads evaluation sessions with business stakeholders, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture\n, • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies\n, • Use AI-assisted tools to accelerate engineering work while maintaining controls, including: \n \n, • Drafting/refactoring code and documentation with validation via tests, code review, and static/security scanning.\n, • Generating and expanding test scenarios (edge cases, regression suites) and verifying correctness/coverage.\n, • Assisting with troubleshooting by summarizing signals (logs/alerts/traces) and proposing hypotheses, confirmed through reproducible investigation.\n \n, • Apply responsible AI practices: protect sensitive data, avoid inappropriate input of confidential information, and treat AI output as non-authoritative until verified.\n, • Adds to team culture of diversity, equity, inclusion, and respect\n\n Required qualifications, capabilities, and skills \n\n • Formal training or certification on engineering concepts and 10+ years applied experience\n, • Hands-on practical experience delivering system design, application development, testing, and operational stability\n, • Advanced in one or more programming language(s)\n, • Proficiency in automation and continuous delivery methods\n, • Proficient in all aspects of the Software Development Life Cycle\n, • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security\n, • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)\n, • Proficient in full stack development skill Java 21, REACT or any other frameworks , building into Public Cloud and CD/CD strategies.\n, • \n Practical experience using AI-assisted development tools to improve productivity and quality, with a strong verification mindset (tests + peer review). \n\n Preferred qualifications, capabilities, and skills \n\n • In-depth knowledge of the financial services industry and their IT systems\n, • Practical cloud native experience\n, • \n Experience with observability tooling and practices (structured logging, metrics, distributed tracing) and incident/problem management. \n\n Work Style / Ways of Working \n\n • Strong communication skills, ownership mindset, and ability to collaborate across product, engineering, and operations.\n, • Commitment to inclusive teamwork and continuous improvement in engineering practices and delivery excellence.\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 J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Our trading technology stack is undergoing a multiâyear convergence and modernization journey. You will play a pivotal role in shaping our nextâgeneration SRE patterns, reliability frameworks, observability strategy, and performance engineering capabilities across globally distributed systems. This role is ideal for an SRE specialist who thrives in fastâpaced frontâoffice environments, enjoys direct interaction with traders, and wants to influence the reliability culture of a major global trading organization. \n As a Lead Site Reliability Engineer at JPMorgan Chase within J.P. Morgan Asset Management's Trading Technology group, you will be embedded directly within the software engineering team that builds and supports our frontâoffice trading platforms. \n Job Responsibilities: \n\n • Engage daily with traders across asset classes (Equities, Fixed Income, FX) to understand workflows, pain points, and reliability priorities.\n, • Act as a trusted engineering partner to the desk, ensuring systems are stable, performant, and aligned with business needs.\n, • Support live trading environments, including incident response, root cause analysis, and post mortem leadership. Work as a core member of the software engineering team, participating in daily standups and design discussions.\n, • Contribute directly to the codebase (Java, Kotlin, Python) to implement reliability improvements, performance optimisations, bug fixes, and automation.\n, • Lead the design and rollout of modern SRE patterns across trading systems, including automated remediation, self healing workflows, and resilience engineering. \n, • Uses enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.\n, • Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability, resiliency, and security controls.\n, • Drive improvements in latency, throughput, and stability across high volume trading applications.\n, • Build and maintain tooling for monitoring, alerting, and distributed tracing across global environments.\n, • Operate within a globally distributed engineering and trading organization, collaborating with teams in EMEA, US, and APAC.\n, • Partner with infrastructure, networking, cloud engineering, and cybersecurity teams to ensure end to end reliability.\n\n Required Qualifications, Capabilities, and Skills: \n\n • Strong hands on experience in front office trading environments or similarly high pressure, low latency domains.\n, • Proficiency with SRE tooling and techniques, including FIX messaging, Kafka, Grafana, Splunk, ITRS Geneos, Dynatrace, InfluxDB, MQ (IBM MQ or similar), Oracle DB\n, • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivity.\n, • Ability to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure outcomes align to resiliency and security expectations.\n, • Deep knowledge of reliability engineering principles: SLIs/SLOs, real-time telemetry, disaster recovery planning, capacity planning, and performance tuning.\n, • Experience designing and implementing observability frameworks for mission critical systems.\n, • Proven ability to lead incident response and drive long term remediation.\n, • Solid programming skills in Python, Java, or Kotlin, with the ability to contribute production grade code. Experience with microservices, distributed systems, and event driven architectures.\n, • Strong understanding of CI/CD pipelines, automated testing, and deployment strategies.\n, • Comfortable interacting directly with traders and senior stakeholders. Excellent communication skills, especially when translating technical issues into business impact. Ability to operate calmly and decisively in high pressure situations.\n, • Strong leadership presence with a collaborative mindset.\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 Behind every investment is a person with ambitions, motivations and values. While we know that every client is unique, they come to J.P. Morgan Personal Investing for the same reason: our straightforward and transparent approach to investing, and the trust that 150 years of J.P. Morgan heritage brings. \n J.P. Morgan Personal Investing offers award-winning investments, products and digital wealth management services to almost 300,000 investors in the UK. We built the business with innovation as a core part of our ethos to give consumers the confidence and clarity to make informed investment decisions and achieve their financial goals. \n As a Lead Software Engineer at JPMorgan Chase within J.P. Morgan Personal Investing, you will join a Backend Engineering Platform team dedicated to building a Spring Boot based framework and libraries that enable our product engineering teams to build and run financial services at scale. \n This hands-on role combines deep technical expertise in Java and the Spring ecosystem, with strong problem-solving abilities. You will work closely with SDLC and Infrastructure teams and play a pivotal role in driving standardization and promoting best practices across Investments' technology landscape. \n Job responsibilities \n\n • Design, develop, and maintain backend frameworks and libraries using Java and Spring Boot. \n, • Build components that provide out of the box implementations of functional and non-functional requirements. \n, • Collaborate closely with product engineering teams to understand their needs and deliver solutions that improve their productivity and engineering experience. \n, • Tackle complex technical challenges, design innovative strategic solutions and provide guidance to the team. \n, • Close collaboration with SDLC and Infrastructure teams to enable delivery of Platform as a Product \n\n Required qualifications, capabilities, and skills \n\n • Strong proficiency in Java and Spring Boot (or similar) framework. \n, • Experience with managing build tools such as Maven and Gradle and their role in SDLC standardisation. \n, • Experience with building APIs in micro-service-oriented architectures and distributed systems with high level of complexity. \n, • Solid understanding of software engineering principles, design patterns, and best practices. \n, • Excellent communication, mentoring, and stakeholder management skills. \n, • Understanding the needs of engineering teams with the ability to drive change and influence their technical direction.\n, • Passion for driving standardisation, process improvement, and engineering excellence. \n, • Understanding importance of controls and compliance in regulated organisations. \n\n Preferred qualifications, capabilities, and skills \n\n • Experience with designing libraries that have been used across multiple engineering teams. \n, • Deep understanding of Spring and Spring Boot internals. \n, • Experience working in financial services, investment platforms, or similar regulated organisations. \n, • Experience with building self-serve tooling for engineering teams. \n, • Hands-on experience building and maintaining CI/CD pipelines. \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 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 Shape how hundreds of thousands of UK investors use data to make confident, informed investment decisions. Join a team building modern, cloud-native data platforms that enable analytics, regulatory reporting, and data-driven products at scale. You'll work with contemporary lakehouse and streaming patterns, strong engineering practices, and a culture that values ownership and continuous improvement. This role offers meaningful scope to influence platform standards and mentor others while growing your technical and leadership impact. \n Job summary \n As a Lead Data Engineer at JPMorgan Chase within Personal Investing, you will design, build, and operate a robust cloud-native data platform and pipelines that power analytics, regulatory reporting, and data-promoten applications. You will help us deliver reliable, scalable, observable, and secure data solutions by applying strong software engineering fundamentals and modern data engineering patterns. You'll work closely with partners across product, analytics, and engineering to translate business needs into resilient technical designs. You'll also contribute to engineering excellence through best practices, mentoring, and thoughtful technical direction. \n Job responsibilities \n\n • Design scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbt\n, • Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability\n, • Develop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformations\n, • Model and transform data for analytics using SQL and dbt to support business intelligence and reporting workloads\n, • Write production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented design\n, • Implement infrastructure-as-code (e.g., Terraform) to provision and manage cloud-based data platform components\n, • Containerize and deploy services using Docker and Kubernetes (and related tooling such as Helm)\n, • Collaborate with analysts, data scientists, and application teams to turn requirements into technical designs and delivered solutions\n, • Own critical data systems by improving reliability, scalability, security, and operational excellence\n, • Mentor junior engineers and influence the team's technical direction through standards, reviews, and knowledge sharing\n\n Required qualifications, capabilities, and skills \n\n • Degree in Computer Science or a STEM-related field (or equivalent)\n, • Demonstrated experience delivering in an agile, fast-paced engineering environment\n, • 8 years of recent, hands-on professional experience actively coding as a data engineer\n, • Strong software engineering fundamentals (system design, data structures, object-oriented programming, testing strategies, and end-to-end development lifecycle)\n, • Strong Python programming skills, including unit and integration testing\n, • Hands-on experience building and operating cloud-based data platforms using major cloud services (e.g., AWS, Google Cloud, or Azure)\n, • Experience with large-scale distributed data processing and performance tuning\n, • Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar)\n, • Strong SQL skills and experience with SQL-based transformation tooling (e.g., dbt)\n, • Experience designing and operating orchestration pipelines using Airflow or similar tools\n, • Experience designing and building streaming pipelines using Kafka, Pub/Sub, or similar messaging systems\n\n Preferred qualifications, capabilities, and skills \n\n • Data modeling experience for analytics and reporting use cases\n, • Knowledge of security, risk, compliance, and governance considerations for data platforms\n, • Experience building continuous integration and continuous delivery automation for data and platform services\n, • Experience with container-based deployment environments (Docker, Kubernetes, etc.)\n, • Demonstrated ability to coach teammates on engineering practices and contribute to a collaborative, inclusive team culture\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 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 Version 1 to connect them with exceptional professionals for this role. \n Company Description \n Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. \n We’re an award-winning employer reflecting how our employees are at the very heart of what we do: \n\n • UK & Ireland's premier AWS, Microsoft & Oracle partner \n, • 3300+ strong, €350/£300m revenue business \n, • 10+ years as a Great Place to Work in Ireland & UK \n, • Best Workplace for Women in the UK & Ireland by GPTW \n, • Best Workplace for Wellbeing in the UK by GPTW \n\n We’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you!. \n Job Description \n We are seeking a Java Engineer to join our UK Digital Data & Cloud Practice. Our Digital Practice is expanding rapidly and you will have the opportunity to develop your career and technical skills. You will be working for one of our high-profile trading clients within the financial services domain, contributing hands-on to a Java-based development team supporting a high-volume message processing environment. \n The team is heavily Java-focused, operating within a client ecosystem that relies extensively on Kafka, Kubernetes/OpenShift, caching solutions, REST APIs, and high-throughput distributed systems. You will bring solid, practical experience in backend Java development and a keen interest in scalable distributed systems. \n Responsibilities \n Technical Delivery \n\n • Design, develop, and maintain backend components in Java, with a focus on performance and resilience.\n, • Contribute hands-on to features across messaging, caching, and distributed processing layers.\n, • Troubleshoot and resolve issues related to sequencing, recovery, message failures, and large-volume processing.\n, • Support releases, deployments, and production stability activities.\n, • Adhere to CI/CD pipelines, code quality standards, and operational readiness requirements.\n, • Apply performance, security, and resilience best practices, particularly around message handling.\n\n Collaboration \n\n • Work closely with the Technical Lead and peers to deliver against team objectives.\n, • Contribute to technical discussions, design reviews, and knowledge sharing within the team.\n, • Raise risks, blockers, and progress updates clearly within the team.\n\n Qualifications \n\n • Some exposure to trading or financial platforms, with an awareness of non-functional requirements such as latency, resiliency, throughput, and failover handling.\n, • Experience developing cloud-native applications with a microservices architecture running on Docker/OpenShift/Kubernetes.\n, • Solid application development skills in Java, SQL (SQL Server, Oracle, etc.) and messaging platforms such as Kafka and MQ.\n, • Experience with the Spring framework and Spring Boot technologies.\n, • Experience in Java REST API development and application security best practices (OAuth, JWT, etc.).\n, • Experience with build and source control tools: Gradle, Maven, Git/Bitbucket.\n, • Familiarity with caching services such as Redis.\n, • Awareness of AI coding assistants such as GitHub Copilot, Cursor, or Claude to accelerate development, generate boilerplate, and review code.\n, • Ability to apply AI tooling critically - validating, refactoring, and integrating AI-generated code rather than accepting output uncritically.\n, • Awareness of prompt engineering techniques relevant to software development workflows (code generation, test writing, documentation, debugging).\n, • Experience working in an Agile/Scrum environment.\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. \n Version 1 is an equal opportunities employer. \n We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring including those shaped by disability and neurodiversity. \n We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process, please contact your recruiter at Version 1. We will consider all requests carefully, respectfully and confidentially. \n Video links: \n https://www.youtube.com/watch?v=F_d3ELTH5zo

hackajob is collaborating with BNY to connect them with exceptional professionals for this role. \n Senior Specialist, Full-Stack Engineer \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’re seeking a future team member for the role of Senior Specialist, Full-Stack Engineer 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. This role is located in London. \n In this role, you’ll make an impact in the following ways: \n\n • \n Design, build, and maintain backend services, batches and APIs, contributing to UI components as needed. \n • \n Own end-to-end delivery: implementation, testing, deployment, observability, and reliability. \n • \n Write clean, well-tested code; participate in code reviews and continuous improvement. \n • \n Collaborate with product, design, and operations to translate business needs into technical solutions. \n • \n Enhance performance, security, and resiliency through best practices and automation (CI/CD). \n • \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 • \n Hands-on AI development using modern tools and IDEs (e.g., Windsurf). \n • \n Solid understanding of programming concepts and microservices \n • \n Proficiency in Java with Spring. \n • \n Experience with CI/CD, automated testing (JUnit/Spock), and containers (Docker). \n • \n Familiarity with microservices, observability/telemetry (e.g., Splunk, AppDynamics), and cloud deployments. \n • \n Curiosity to understand the business domain and translate product strategy into technical solutions. \n\n How we work: \n\n • \n Agile (Scrum/Kanban) tailored by teams for flow and outcomes; full product lifecycle ownership (build, test, deploy, monitor, iterate); growth mindset with continuous learning and knowledge sharing. \n • \n Code: Java 17/21 (Spring, Maven), Groovy, JavaScript/TypeScript (Angular) \n • \n Testing: JUnit, Spock \n • \n Deployment: Private Cloud (VMs/containers) \n • \n Tooling: GitLab (git and CI/CD), IntelliJ, Windsurf, Docker, Splunk, AppDynamics \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 • \n America’s Most Innovative Companies, Fortune, 2025 \n • \n World’s Most Admired Companies, Fortune 2025 \n • \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.

hackajob is collaborating with Monument to connect them with exceptional professionals for this role. \n Full Stack Engineer \n London (Oxford Circus) | Hybrid: 2 days per week | Reports to: Head of Mobile \n About Monument \n We’re building something genuinely rare: a financial brand designed for the mass affluent, the professionals, entrepreneurs and ambitious savers that traditional banks have systematically underserved for decades. \n We exist to make managing wealth simpler, smarter and more human, treating every client’s wealth with the same care as if it were our own. \n We have over £7 billion in client deposits, a fresh funding round and a place on the Future Fifty, the UK’s top pre-IPO companies. The momentum is real. \n The Opportunity \n This is a build role for an engineer who wants to own their work end to end. You will design, develop and ship digital products that directly shape how Monument’s clients manage and grow their wealth, working across the full stack from polished front-end interfaces to resilient back-end services. \n For the right engineer, this is a rare opportunity: meaningful ownership on a product that matters, at a pre-IPO challenger bank, working with modern tooling and an AI-first engineering culture that prioritises outcomes over process. \n What You’ll Do \n\n • Build, deploy and scale high-quality, secure and maintainable mobile applications across front-end and back-end systems, with full ownership of your code from architecture through to production monitoring.\n, • Collaborate closely with Product, Design and Data colleagues to define problems, shape hypotheses and ship working solutions at pace.\n, • Apply an AI-first approach to engineering, using tools such as Claude, GitHub Copilot and AI agents to accelerate development, testing and ideation without compromising quality or security.\n, • Instrument everything you build, tracking performance, behaviour and conversion to inform data-driven decisions on what to build next.\n, • Contribute to product strategy by identifying opportunities for technical innovation and automation across Monument’s digital experiences.\n, • Ensure operational excellence across your work, building for reliability, scalability and compliance in a regulated financial services environment.\n, • Help define and evolve engineering standards, architecture patterns and development best practices as the team scales.\n, • Champion simplicity in design and implementation, building systems and interfaces that are intuitive, elegant and frictionless for clients.\n\n The Challenges You’ll Tackle \n\n • Monument’s clients are discerning and have high expectations. Building experiences that feel genuinely premium, not just functional, requires craft as much as capability.\n, • Speed and quality must coexist. Shipping fast in a regulated environment means knowing where to move quickly and where to apply rigour.\n, • The full stack is genuinely full. You will be expected to contribute meaningfully across front end, back end and infrastructure, not camp in one layer.\n, • AI tooling is evolving fast. The challenge is not to use it for the sake of it, but to build the judgement to know when and how it genuinely improves your output.\n\n The Mindset \n\n • Bias to Action. Make decisions with the information available. Do not wait for perfect conditions. Ship, learn, iterate.\n, • Radical Ownership. Accountable for the quality, performance and reliability of what you build, not just the code you commit.\n, • Challenge with Intent. Push for better solutions through evidence and technical rigour, even when the easier path is available.\n, • Intellectual Humility. Let data and results guide architectural decisions. Adapt when evidence changes, even when it means revisiting previous calls.\n, • Low ego, high standards. Confident in technical convictions, collaborative in approach, focused on outcomes.\n\n What You Bring \n\n • Proven full-stack engineering experience, delivering production-ready applications using React, Node.js and AWS on web and mobile platforms.\n, • Hands-on experience with iOS or Android native development, or React Native for mobile-first product work.\n, • Strong working knowledge of RESTful and GraphQL APIs, serverless architectures and CI/CD pipelines.\n, • Comfortable in TypeScript and JavaScript, with experience in cloud-native ecosystems and modern tooling.\n, • A track record of using data and experimentation to guide technical and product decisions.\n, • Demonstrable experience with AI-powered engineering tools, with a considered approach to where they add genuine value.\n, • Experience working in agile, product-led teams where speed, collaboration and ownership are the norm.\n, • Familiarity with UK GDPR data handling obligations and an understanding of what it means to build in a regulated environment.\n, • Experience with event-driven systems and database technologies such as PostgreSQL or DynamoDB is advantageous.\n, • Exposure to financial services, fintech or other regulated environments is a plus but not a requirement.\n\n What’s in It for You \n Build products that real clients use at a pre-IPO challenger bank with genuine commercial momentum. No legacy constraints, modern tooling, an AI-first engineering culture and the autonomy to own your work end to end. Be measured by what you ship and its impact, not by ticket velocity or meeting attendance. \n Our Values \n At Monument, our values shape how we make decisions, how we treat each other when things get hard, and how we show up for clients who expect more than standard banking. \n We set ambitious goals and hold ourselves to them, not because it looks good, but because our clients’ outcomes depend on it. When something isn’t working, we say so early, learn from it, and move. We don’t wait for perfect conditions, and we don’t protect egos over progress. \n We work as a genuine team, which means real collaboration, honest conversations when we disagree, and shared accountability when things go wrong. We know better decisions come from different perspectives, so we actively value the range of experiences and backgrounds our people bring. \n We’re always asking whether there’s a smarter way to do what we do, not for the sake of change, but because standing still isn’t an option in the market we’re in. \n Benefits \n\n • 28 days annual leave plus 8 bank holidays\n, • Performance related bonus structure\n, • Equity after probation\n, • Enhanced pension (9% employer contribution + 1% match when you contribute a minimum of 1%)\n, • Private health insurance with family cover\n, • Optical and dental cover\n, • Online GP service for you and your family\n, • Life assurance\n, • Flexible hybrid working, including options to work from abroad\n, • Enhanced parental leave\n\n Equal Opportunities \n Monument Bank is an equal opportunities employer. We are committed to creating an inclusive environment for all employees and applicants. We welcome applications from individuals of all backgrounds and do not discriminate on the basis of age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex, or sexual orientation.

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 talented Android Engineer to join our Design Systems team. \n Wise.com and the Wise iOS and Android apps are the shop-window of Wise. With ever-growing demands to continue to expand on, scale up and build out different parts of our website and apps, it has been essential to build a dedicated design system. \n As a Design Systems team, we continuously explore, design, and author a wide range of foundations, building blocks, and tooling used by all our products and landing pages. But it’s not just about meeting the product team’s feature needs – as brand guardians, we must ensure that everything we release reinforces the trust gained from our customers over the years. To achieve that, we tend to look at problems from different angles, be it UX, scalability, efficiency, consistency, performance, widely understood accessibility, motion, design and technical documentation, and more. \n Being a member of Mobile engineering, you are encouraged to influence other parts of the app, collaborate with 60+ other mobile engineers and help raise both the UX and code quality across all Wise customers. You’ll also be responsible for ensuring the solutions you build scale and fit well in order to achieve a high quality global product and collaborate often with your peers across other teams as well. Our work requires close partnerships with technical, as well as non-technical, audiences: Product Designers, Content Designers, Brand/Creative Designers, Web, iOS, and Android Engineers, Design Tooling Specialists, Vulnerable Customers, and more. \n As a Design Systems Android Engineer, you will: \n\n • \n Participate in or lead other engineers through the full lifecycle of a feature, from its discovery and technical specification to authoring, testing, documenting, releasing, presenting, and eventually maintaining it. \n • \n Help troubleshoot, fix, and support other product teams in resolving problems related to our work. \n • \n Represent and champion Design Systems initiatives in front of both technical and non-technical audiences. \n • \n Collaborate closely with teams across the company to deliver impactful experiences to the Design Systems’ internal and external consumers. \n • \n Support new Wise engineers, helping them ramp up on the Design System, tooling, and best practices. \n\n Qualifications \n What do you need? \n\n • \n Deep expertise in building reusable UI components and tooling with Compose \n • \n Integrate with theme architecture, managing design tokens (colors, spacing, typography) globally. \n • \n The ability to build clean, intuitive, and highly flexible APIs that other developers can easily integrate. \n • \n Experience with visual regression testing and optimizing UI performance to ensure zero dropped frames. \n • \n An appetite for building delightful user experiences. \n • \n High attention to detail. \n • \n Strong commitment and hands-on experience building accessible interfaces with inclusive design in mind, and using testing tools to improve usability. \n • \n The ability to explore, discuss, evaluate, and communicate, often complex, technical problems as a critical thinker – with curiosity, open-mindedness, clarity and objectivity. \n • \n The ability to effectively collaborate with cross-functional peers as well as solve problems independently and proactively. \n • \n An eagerness to learn and share knowledge alike, contribute to and improve technical documentation and RFCs. \n\n We’d also love to hear more if you: \n\n • \n Have contributed to and helped grow design systems or pattern libraries. \n • \n Have had any exposure to authoring tooling and automation. \n • \n Are comfortable navigating Figma or similar design tools. \n\n But don’t worry – we know it’s uncommon for a candidate to have all the required skills, and we fully support everyone in learning new ones with us. So if you have only some of the skills listed above and are eager to learn more, we’d love to hear from you! \n Additional Information \n Interested? Find out more: \n\n • \n How we work – a practical guide \n • \n DEI @ Wise \n • \n Wise Tech Stack (2025 update) \n • \n See what it's like to work at Wise London! \n • \n Our Engineering career map \n • \n Wise Engineering – https://medium.com/wise-engineering \n\n What do we offer: \n\n • \n Starting salary: 87500 - 111000 GBP + RSUs \n • \n Wise Benefits \n\n Interested in more than one role? \n If you're interested in multiple roles, please apply for just one—the one you're most excited about. If you submit multiple applications requiring the same assessment, we'll continue your recruitment journey using your first application, and any duplicate applications will be automatically closed. This helps ensure a fair and consistent interview process. If another role feels like a better fit, you can discuss this with your recruiter during the process. \n #LI-AB3 #LI-Hybrid \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 Virgin Media to connect them with exceptional professionals for this role. \n We are looking for an application security engineer who is based in the UK for a majority remote role based in London. \n In order to be considered, the candidate must have the following experience; \n • Experience assessing security impacts across codebases and APIs using languages such as Java, TypeScript and Python. \n • Strong knowledge of the OWASP Top 10, secure coding practices, and common web and API vulnerabilities. \n • Hands-on experience triaging, validating and remediating vulnerabilities with both technical and non-technical stakeholders. \n • Experience integrating security tooling into CI/CD pipelines and embedding DevSecOps practices. \n We'd also love you to bring; \n • Security certifications such as OSCP, GWAPT, CSSLP, CEH or Security+. \n • Experience securing AWS environments and infrastructure-as-code solutions such as Terraform. \n • Knowledge of AI-enabled security workflows and securing AI or LLM-powered features. \n • Experience contributing to or maintaining open-source security tooling. \n • Proven expertise in threat modelling, secure code review, architecture review, and container/Kubernetes security.

hackajob is collaborating with Oritain to connect them with exceptional professionals for this role. \n Oritain is the global leader in product origin verification, with locations in Auckland, Dunedin, London, Singapore and Washington D.C. \n We sit at the intersection of forensic science and supply chain technology, harnessing science and data to verify the genuine origin of materials across the world's most critical commodities. Our mission is to protect people and the planet by ensuring transparency and integrity in global supply chains. \n As we continue to evolve our platform and product capabilities, we are seeking a Senior Software Engineer to join our engineering team in London and play a central role in building the applications that bring our science to life. \n About the Role \n The Senior Software Engineer plays a key role in designing and building new customer-facing applications and APIs that sit at the heart of our product offering. You will work across the full stack, with a focus on building robust backend services and modern, responsive front-end experiences, all within a cloud-native environment on Microsoft Azure. \n Reporting to the Engineering Manager, you will take real ownership of what you build, working closely with Product, Design, Data and Science teams to deliver features end-to-end. This is a role for an engineer who cares as much about what they are building as how they are building it, and who wants their work to contribute to something that genuinely matters. \n For a software engineer who wants to work on technically interesting problems with real-world impact, in a collaborative team where craft and ownership are valued, this is a great opportunity. \n Key Responsibilities \n On the backend, you will design, build and maintain scalable services and RESTful/GraphQL APIs using Python with Django or FastAPI, writing clean, well-tested, production-grade code with a focus on reliability and performance. You will design and implement data models working with PostgreSQL and cloud-native data services, and build and maintain CI/CD pipelines with automated testing, linting and deployment as standard. \n On the frontend, you will build modern, responsive user interfaces using React with TypeScript, collaborating closely with Product and Design to translate requirements and wireframes into functional, accessible UI components. You will ensure frontend performance, accessibility and cross-browser compatibility throughout. \n Across the platform, you will contribute to infrastructure decisions and service architecture within our Azure environment, support observability, monitoring and alerting for production services, and participate in incident response and root cause analysis when issues arise. \n You will take end-to-end ownership of features from technical design through to delivery and iteration, participate actively in code reviews and architectural discussions, mentor and support junior and mid-level engineers, and partner with our Data and Science teams to understand how application services integrate with the broader data platform. \n Skills & Experience \n You bring significant professional experience, typically five or more years, in software engineering with a strong track record of delivering production systems. You have backend proficiency in Python with Django or FastAPI, strong frontend experience with React and TypeScript including component architecture, state management and modern tooling, and a solid understanding of relational databases, PostgreSQL preferred, covering schema design, query optimisation and migrations. \n You have experience with cloud platforms, ideally Microsoft Azure, and familiarity with containerisation using Docker and CI/CD practices. You bring a pragmatic, product-minded approach to engineering and strong communication skills that allow you to work effectively in a collaborative, cross-functional team. \n Experience with data engineering concepts such as ETL/ELT pipelines or data platforms like Databricks and Azure Data Factory would be an advantage, as would familiarity with event-driven architectures or message queues, experience with scientific, geospatial or time-series data, or exposure to infrastructure as code using Terraform. Comfort with AI-assisted development tools and an interest in integrating AI capabilities into products would also be welcome. \n Company Benefits \n\n • \n Hybrid working (minimum 3 days per week in our Farringdon office) \n • \n 35 days paid leave, inclusive of public holidays \n • \n Birthday off \n • \n Enhanced parental leave \n • \n Life insurance and critical illness cover \n • \n Choice of private medical insurance or annual health check \n • \n Employee Assistance Programme \n • \n Pension \n • \n Breakfast, snacks, Friday lunch and barista coffee in the office \n • \n Learning portal with over 100,000 assets for professional development \n\n We believe great teams are built from different perspectives, experiences and ways of thinking. We welcome applications from everyone and encourage you to bring your whole self to the process. If there is anything we can do to support you at any stage of hiring, please let the team know.

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’re looking for a Lead Machine Learning Engineer to join our growing Servicing Machine Learning and Data Engineering Team in London. \n This role is a unique opportunity to scale and advance the impact of Data Science in Servicing tribe – namely Fincrime, KYC and Customer Support squads. What you build will have a direct impact on Wise’s mission and millions of our customers. \n Our team is responsible for 1) removing bottlenecks from Data Science workflows, 2) providing ML tooling for experiments, 3) developing Wise’s ML Label Platform. Moreover, we are responsible for driving high priority projects from proof-of-concept to MVP, to service / tooling. \n We are looking for someone to own the evolution of ML experimentation tooling and label quality – at first for Fincrime teams, then for other squads in Servicing. You will co-own stakeholder management, roadmap, delivery and onboarding. You’re also expected to conduct presentations, demos and workshops, in addition to maintaining good documentation and progress updates for your projects. Additionally, you will have the freedom to drive impactful proof-of-concepts of new methodologies and tooling that bridge a gap for two or more teams in Servicing tribe. \n Here’s how you’ll be contributing: \n\n • \n Software engineering: e.g. testing + CI/CD, monitoring/alerting + disaster recovery \n • \n MLOps: Terraform and AWS infra, ML governance for hundreds of models \n • \n Data Engineering: distributed processing at terabyte scale \n • \n Science: prove value of new methodologies / algorithms applied to cross-team domains, estimate and measure impact, mentor junior members in experiment design \n\n Qualifications \n A bit about you: \n\n • \n Extensive experience with end-to-end distributed data systems, specially ML-centric ones; \n • \n Previous experience as Data Scientist in large scale product team / business; \n • \n Excellent Python and Software Engineering knowledge. Ability to work with Java if needed. Demonstrable experience collaborating with engineers on services.; \n • \n Strong drive to solve problems for Data Scientists, with the ability to work independently in a cross-functional and cross-team environment; \n • \n Good communication skills, ability to get the point across to non-technical individuals and back it up with data (and statistical analysis), to engage and manage project stakeholders; \n • \n Strong problem solving skills with the ability to help refine problem statements and propose solutions taking effort-impact-scalability tradeoff into account. \n\n Some skills that will make you stand out: \n\n • \n Apache Spark, Iceberg, Kafka, dbt \n • \n Scikit-Learn, XGBoost, PyTorch, MLFlow,, GraphFrames, Ray \n • \n AWS (S3, EMR, SageMaker, Lakeformation), Terraform, Docker, GitHub CI/CD \n • \n Knowledge Graphs (+ RAG), graph ML, probabilistic programming, A/B testing \n\n Additional Information \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 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 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 Job Description \n About the role \n We are looking for a passionate Data Engineering Manager to join the Treasury Global Liquidity team and help design the foundations of the real-time liquidity observability stack and core business functions served by the team. \n In this role, you will be responsible for delivering key initiatives, contributing to setting the technical strategy of the team, and ensuring we build robust and scalable systems while promoting a culture of innovation and continuous improvement. \n You will have a direct and measurable impact across multiple Wise products, owing to the core position of the team’s domain in ensuring our platform scales efficiently. \n How do we work? \n At Wise, we work in autonomous, cross-functional teams. As an Engineering Manager, you will work in a highly collaborative environment, partnering closely with Product Managers, Analysts, Data Scientists and key stakeholders in our Treasury and Finance teams. Together, you will define the strategy, shape the roadmap, and deliver impactful solutions that advance our mission. \n What will you be working on? \n Elevated Customer Experience: \n • Lead the development of a reliable, real-time view of our liquidity for multiple products. \n • Enable the transition of the customer experience from pre-determined restrictions and delays to an intelligent, dynamic model. \n Financial Strength and Resilience: \n • Design and implement advanced monitoring systems to optimize financial resource management systems, directly contributing to operational efficiency gains. \n • Strengthen our foundational scaling strategy, allowing us to operate with greater agility and confidence as we grow. \n Controlled and Intelligent Scalability: \n • Engineer sophisticated, fine-grained control mechanisms to manage liquidity utilization effectively. \n • Ensure the rapid processing of high-value transactions while maintaining robust, strategic controls to manage flow as needed. \n Automated Investment and Risk Management Tooling: \n • Develop systems that automate the investment of surplus cash while adhering to strict risk and regulatory parameters. \n • Collaborate with data scientists and help develop machine learning to forecast future cash inflows and outflows across all currencies and jurisdictions with high accuracy, enabling proactive and optimal cash positioning and minimizing idle balances. \n What do you need? \n We are seeking a proven Data Engineer who thrives on complexity. The ideal candidate combines architectural depth in distributed systems with a sharp commercial and product intuition, capable of navigating the intricate trade-offs between financial cost, operational risk, and customer experience. \n Qualifications: \n • You have a strong background in software engineering, with proven experience designing, building, and operating complex and reliable event-driven systems in a production environment. \n • You are comfortable working on a complex and high-stakes domain, such as treasury, payments, or finance, and can guide a team through its unique technical challenges. \n • You have a strong sense of ownership and the ability to think beyond technical implementation to understand how your team's work directly impacts business risk, cost, and customer satisfaction. \n • You have experience working closely with product and stakeholders to define requirements and prioritize the most impactful work. \n • You have demonstrable experience leading and mentoring engineers across diverse domains and levels. You possess the skills to guide towards a high-performing team that is collaborative, supportive, and passionate about achieving goals. \n • You lead by example, inspiring your team to produce high-quality, maintainable code and uphold high engineering standards. \n • You are an excellent communicator, capable of articulating complex technical concepts clearly to both technical and non-technical audiences. \n Interested? Find out more: \n\n • \n How we work – a practical guide \n • \n DEI @ Wise \n • \n Wise Tech Stack (2025 update) \n • \n See what it's like to work at Wise London! \n • \n Our Engineering career map \n • \n Wise Engineering – https://medium.com/wise-engineering \n\n What do we offer: \n\n • \n Starting salary: £105k - £135k + RSUs \n • \n Wise Benefits \n\n #LI-AB3 #LI-Hybrid \n Additional Information \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 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 Wise Platform helps banks, software companies, and large enterprises use Wise's infrastructure to offer their customers cross-border payment products through our API. We're a cross-functional team across sales, implementation, product, engineering, compliance, and analytics, based in New York, London, and Singapore. \n We're looking for a Senior Backend Engineer to join our Partner Experience team in London. \n The Partner Experience team builds and runs the systems that let enterprise partners go live faster and manage their day-to-day operations in one place. \n We own the Partner Portal (used by many big banks to manage transfers, report fraud, handle compliance requests, and manage their teams) and the backend services behind partner onboarding, permissions, and communication. Most of what we build is new. There's no existing playbook for enterprise partner tooling at this scale, so you'll be designing systems from scratch more often than maintaining existing ones. \n How we work: \n We're a small team that ships frequently and iterates on real partner feedback. Engineers own features from technical discovery and design through to production support. We work closely with our PM and designer to understand partner needs, and with adjacent teams (API Experience, Account Discovery, KYC, FinCrime) to pull their capabilities into the portal. \n We investigate before we build. That means managing ambiguity, understanding the existing systems, APIs and dependencies before writing code. We keep process light: quick standups, focused 1:1s, and quarterly planning. \n What will you be working on?: \n • Backend microservices for partner-facing features: fraud reporting, case management, RFI handling, audit logging, and transaction visibility. \n • The permissions and role-based access control system that governs what partners can do in the portal. \n • SSO (SAML 2.0) integration for enterprise partners, including solving identity mapping between partner systems and Wise. \n • The communication layer services between Wise and partners, extending them to handle new case types and workflows. \n • API design for partner-facing endpoints. We care about consistency, documentation, and making them usable without hand-holding. \n • Work with FinCrime, Compliance, and KYC teams to bring sanctions RFI workflows and fraud reporting into the portal. \n • Technical discovery: mapping existing systems, evaluating dependencies, producing design documents that become the team's source of truth. \n • Production support and debugging when live partner issues come up. \n Qualifications \n What do you need: \n • Experience designing, building, and deploying backend microservices in Java and Spring Boot. \n • Familiarity with domain-driven design, event-driven architecture, and microservices patterns. You think in terms of domain boundaries, aggregates, and service responsibilities. \n • Experience designing and maintaining RESTful APIs commercially. Comfort with OpenAPI/Swagger, OAuth2, and versioning strategies. \n • Ability to design and maintain relational databases (MySQL, PostgreSQL), including query performance, indexing, and data modelling. \n • You enjoy mapping complex technical landscapes: understanding existing systems, dependencies, and constraints before proposing solutions. You write clear documentation of what you find. \n • You deliver reliably and manage your own work without needing constant check-ins \n • You work well with adjacent teams, unblock yourself when dependencies come up, and build relationships that go beyond PR reviews. \n • You understand what large enterprise customers need from software: reliability, auditability, compliance, and security as design constraints, not bolt-ons. \n Nice to have: \n • Experience building enterprise portals, partner platforms, or B2B SaaS products. \n • Understanding of payments systems and the complexities of cross-border money movement. \n • Experience with identity and access management (SAML, SSO, SPIFFE, OAuth2). \n • Familiarity with Kafka or other event streaming platforms. \n • Experience in a platform team serving multiple internal or external consumers. \n • Ability to explain technical decisions to non-technical people (product managers, partners, compliance teams). \n • Interest in international finance, foreign exchange, or payments infrastructure. \n Additional Information \n Interested? Find out more: \n\n • \n Wise Platform: who we are, what we do \n • \n How we work - a practical guide \n • \n DEI @ Wise \n • \n Wise Tech Stack (2025 update) \n • \n See what it’s like to work at Wise London \n • \n Our engineering career map \n\n Wise Engineering – https://medium.com/wise-engineering \n What do we offer: \n\n • \n Starting salary: £87,500 - £111,000 + RSUs \n • \n Wise Benefits \n\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. \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 J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment. \n As a Platform Engineer in the Networking Team at JPMorgan Chase within the Accelerator, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution-oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects - and depending on your strengths and interests, you'll have the opportunity to move between them. \n To support our mission-critical systems and foster strong team collaboration, this position requires participation in our on-call rotation and working from the office 5 days per week. \n While we're looking for professional skills, culture is just as important to us. We understand that everyone's unique - and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there's scope for you to make a huge difference - on us as a company, and on our clients and business partners around the world. Job responsibilities: \n ⢠Collaborate across the organisation to implement platform wide strategies in our networking stack. \n ⢠Optimise our infrastructure for failover and resiliency. \n ⢠Enhance our operator design and custom implementation: We are utilising a number of different cloud native operators. As our platform matures and scales, we need to ensure our custom operators remain fit for purpose. \n ⢠Improve observability of our networking components to meet SLOs. \n ⢠Lead troubleshooting of production workloads for customers and during incidents. \n ⢠Develop secure high-quality production code, and reviews and debugs code written by others. \n ⢠Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture \n ⢠Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies \n ⢠Lead agile ceremonies \n ⢠Add to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities and skills \n ⢠Detailed understanding of public clouds and hands on knowledge on building cloud based environments. \n ⢠Expert knowledge of containerisation, Kubernetes and related tooling. \n ⢠Deep understanding of cloud-native and traditional networking architectures. \n ⢠Proven experience designing and operating scalable, secure and resilient networks in GCP or AWS. \n ⢠Strong understanding of networking fundamentals (TCP/IP, BGP, routing, DNS, NAT, Firewalls, IPAM, Load Balancers, VPN). \n ⢠Extensive experience writing and maintaining custom Kubernetes Operators in Golang. \n ⢠Capable of writing code to deliver highly automated infrastructure environments that support the wider organisation. \n ⢠Being comfortable in fast moving, critical environments and working with ambiguity Preferred qualifications, capabilities and skills \n ⢠At least 8 years of experience in a similar role \n ⢠Hands on experience with Reconciliation Loops, ArgoCD, IaC tooling (Crossplane/Terraform) and Service Mesh (Istio) \n ⢠Experience Debugging Networking and Kubernetes issues across a large scale cloud native stack \n ⢠Direct connect, Cloud Interconnect, Partner Interconnect implementation \n #ICBCareer #ICBEngineering \n ABOUT US \n JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. \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 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 BAE Systems Digital Intelligence to connect them with exceptional professionals for this role. \n Location(s): London or Manchester \n BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. \n Job Title: DevOps Engineer \n Requistion ID: 120493 \n Location: London or Manchester – Hybrid working offered, with consideration for both full and part-time applicants – please speak to your recruiter about the options \n Grade: GG08 – GG13 \n Are you passionate about working with cutting-edge technology and self-motivated to find innovative solutions to complex challenges as part of a team who help keep the UK safe? Join BAE Systems as a DevOps Engineer. \n As a DevOps Engineer you provide a bridge between development, testing, network/infrastructure, operations and system administrators to facilitate efficient, continuous and high quality software delivery. The processes and tooling implemented by the DevOps Engineers enables Software Engineers to turn source code and associated artefacts into installation media and/or installed and configured environments. \n You will typically combine the skills of coding or scripting and process reengineering with exemplary team working and communication skills. As a DevOps Engineer you should have a good breadth of knowledge across the disciplines of software development and how software is deployed. \n You will be working in a multiple disciplined team, and require a broad range of technical and soft skills to enable the team to implement sound DevOps engineering practices and deliver value quickly and continuously. These skill are categorised into the following domains. \n\n • Automation skills: Automation is a key skill domain for DevOps engineers, they need to be able to design, build and maintain automation solutions for building, testing, deploying application and infrastructure. Specific automation skills are: \n \n, • Continuous Integration – Skilled in the tooling and principles of continually building, testing and integrating the software that developers produce\n, • Continuous Deployment – Skilled in the automation of the deployment of the artefacts produced by the CI\n, • Orchestration – Deliver solutions to orchestrate the deployment, management scaling and networking of containers\n, • Workload Automation – Create solutions to automate the scheduling and scaling of application workloads\n, • Cloud Management – Skilled in the design, deployment and management of Public or Private Cloud environments\n, • Configuration Management – Practice good configuration and source code control of all artefacts\n \n, • Human skills: Working in a multi-disciplined team DevOps engineers need to have great communication skills. \n \n, • Problem Solving – The DevOps engineer is often the first port of call to diagnose and resolve problems, they need to be able to understand the causes of issues across a number of domains including infrastructure, code, networking and databases with enough knowledge to be able to fault find and identify the root cause\n, • Collaboration – Working within a DevOps team it is key that the DevOps engineers collaborate well with the team to ensure they are all working towards the same goal.\n, • Knowledge sharing – Effectively shares knowledge within the project team and within the wider organisation.\n, • Flexibility – DevOps engineers need to be flexible and quickly adapt to new situations and technology\n \n, • Technical skills: DevOps engineers need a good understanding of a vast number of technical skills, below are some of the key expected skills \n \n, • Cloud Platforms – Should be confident with the configuration of a least one Public or Private Cloud platform\n, • Operating Systems – Should be able to configure, harden and maintain at least one flavour of Operating System\n, • Programming Languages – Although programming is not the core skill of the DevOps engineer, they still need to be able to program to produce the automation that is required for the role. There will also be times that an understanding of coding is needed to problem solve issues\n, • Containerisation – Most DevOps projects make use of containers, DevOps engineers must be experienced with at least one containerisation platform and orchestration tool\n, • Application Technologies – Although application development is not the main focus of a DevOps engineer they need a high level understanding of application development technology to enable them to build and deploy\n, • Databases – Should be able to deploy and maintain different database management systems and understand enough to fault find issues\n, • Legacy Infrastructures – Not all projects will use modern technology exclusively, some may deploy to or integrate with legacy infrastructure. DevOps engineers need to be able to understand the legacy technology\n \n, • Multi-discipline enabling skills: DevOps teams maintain the products they produce from development through to operations, DevOps engineers need an understanding of multiple disciplines to help the team succeed \n \n, • IT Operations – Responsible for managing the on-going BAU support of the platform in operation environments. Including change and incident management, service requests and proactive monitoring and maintenance\n, • Security – Ensure security is considered early in the development lifecycle and constantly maintained. DevOps engineers must understand how to secure the infrastructure that they deploy\n, • Application Development & Delivery – To effectively work with developers in the team DevOps engineers need a good understanding of application development methods and delivery\n, • Architecture – Need to be able to design and document architectures using best practice, patterns and frameworks\n \n, • Process & Framework Knowledge: DevOps teams use a number of processes and frameworks to deliver constant value, DevOps engineers need to understand these to help the team deliver \n \n, • Agile – Should understand the Agile Manifesto and the 12 Principles and be able to work within a team using Agile methodology\n, • Scrum – DevOps engineers should be an active member of the scrum team and contribute to sprint ceremonies\n, • SRE – Should understand SRE principles and apply these to constantly improve the reliability and minimise the support burden within the team\n \n\n Security Clearance \n Due to the nature of our work, successful candidates for this role will be required to hold an active eDV before applying for this opportunity. \n How we will support you \n\n • Work-life balance is important; you can work around core hours with flexible and part-time working, and many of our roles include hybrid working enabling a mix of working from home and in the office\n, • You’ll get 25 days holiday a year and the option to buy/sell and carry over from the year before\n, • Our flexible benefits package includes private medical and dental insurance, a competitive pension scheme, cycle to work scheme, taste cards and more\n, • You’ll have a dedicated Career Manager to help you develop your career and guide you on your journey through BAE\n, • You’ll be part of our company bonus scheme\n, • You are welcome to join any/all of our Employee Resource groups. These groups cover everything from gender diversity to mental health and wellbeing.\n\n About our team \n Our people are what differentiates us, they are resourceful, innovative and dedicated. We have a mix of generalists and specialists and recognise that this diversity contributes to our success. We recognise the benefits of forming teams from a mix of disciplines, which allows us to come up with cutting edge, high quality solutions. Our breadth of work across the Public Sector provides diverse opportunities for our people to develop their careers in new areas of expertise and with new clients. \n You’ll be part of a big company, but we try to create a culture that feels like a small one. The work will stretch you and be challenging, but we encourage a healthy work-life balance. Most of all, we know teams who work well together also perform well. We’ll do everything we can to ensure you have fun at work, and in social activities outside of it whether that’s virtually or in person, as conditions allow. \n We have a rich history of working within National Security. In fact, we have over 40 years’ experience of delivering advice and solutions to our customers in this sector, supporting them in carrying out their vital missions. \n Why BAE Systems? \n This is a place where you’ll be able to make a real difference. You’ll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you’ll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. \n Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. \n Life at BAE Systems Digital Intelligence \n We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. \n By embracing technology, we can interact, collaborate and create together, even when we’re working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance well-being. \n Inclusion is integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds – the best and brightest minds – can work together to achieve excellence and realise individual and organisational potential. \n Division overview: Capabilities \n At BAE Systems Digital Intelligence, we pride ourselves in being a leader in the cyber defence industry, and Capabilities is the engine that keeps the business moving forward. It is the largest area of Digital Intelligence, containing our Engineering, Consulting and Project Management teams that design and implement the defence solutions and digital transformation projects that make us a globally recognised brand in both the public and private sector. \n As a member of the Capabilities team, you will be creating and managing the solutions that earn us our place in an ever changing digital world. We all have a role to play in defending our clients, and this is yours.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n As a part of the UK Security Operations (SecOps) team in Google Public Sector, you will deliver, operate and secure private cloud services. You will aim to provide the flexibility, reliability, and scalability of public cloud for customers with exceptionally high security requirements that can only be met in a private cloud environment. You will deliver and operate these private cloud deployments for the most critical customers, helping scale, secure and maintain the deployment whilst working closely with Google product teams to continually improve our technology. \n As a Security Platform Engineer, you will play a critical role in designing, building, and managing cloud-native security platforms with a strong emphasis on Kubernetes-based environments. You will be at the intersection of security and engineering, developing scalable tooling, automating security controls, and enabling robust detection and response capabilities across our cloud infrastructure. In this role, you will require deep technical expertise in cloud environments, Kubernetes security, and platform automation. You will work closely with Incident Response Engineers and platform teams to ensure that security is seamlessly integrated into our infrastructure and operational workflows. Your role will require participation in a rotating on-call schedule outside of core business hours and over the weekend to ensure security incidents can be swiftly resolved. \n Minimum qualifications: \n\n • Bachelor's degree in Computer Science, Information Security, a related field, or equivalent practical experience.\n, • 5 years of experience in security engineering, DevSecOps, or platform engineering roles.\n, • Experience with technical troubleshooting and scripting languages such as Python, Go, or Bash.\n, • Experience with Kubernetes security, including workload isolation, Role-Based Access Control (RBAC), and network policies, containerisation, orchestration, and Kubernetes observability tools (e.g., Falco, Prometheus, Grafana).\n, • Experience with infrastructure-as-code and configuration management tools (e.g., Terraform, Helm, ArgoCD).\n, • Active, or the ability to obtain, a Developed Vetting (DV) UK security clearance.\n\n Preferred qualifications: \n\n • Certifications in Security (e.g., GSEC, CISSP, CISM, OSCP).\n, • Experience with Kubernetes threat detection and anomaly detection.\n, • Experience with service mesh security concepts (e.g., Istio, Linkerd) and workload identity.\n, • Experience in detection engineering, logging pipeline development, or SIEM tuning in containerised environments.\n, • Experience in contributing to security-focused open-source projects or internal security platform tooling.\n\n Responsibilities: \n\n • Deploy, configure, and manage cloud security platform tools and technologies, including Security Information and Event Management (SIEM), Intrusion Detection/Prevention Systems (IDS/IPS), and Cloud Workload Protection Platforms (CWPP).\n, • Develop and implement security monitoring and logging strategies.\n, • Investigate and analyse security incidents, including identifying root causes, determining the scope of impact, and taking appropriate containment and remediation actions.\n, • Perform forensic analysis to identify and investigate suspicious activity.\n, • Automate security tasks and workflows to improve efficiency and effectiveness.\n\n Must be a British citizen to meet compliance and security clearance requirements. Office location can either be a satellite site in Wiltshire, or London. This is an on-site position, requiring a standard five day per week schedule in the office

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference. \n As a Lead Data Engineer at JPMorganChase within the [insert LOB or sub LOB], you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives. \n Job responsibilities \n\n • Ensures consumers are able to have a high level of trust in the analysis they produce based on the data our product line emits.\n, • Generates data models for their team using firmwide tooling, linear algebra, statistics, and geometrical algorithms\n, • Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way\n, • Implements database back-up, recovery, and archiving strategy \n, • Evaluates and reports on access control processes to determine effectiveness of data asset securityâ with minimal supervision\n, • Adds to team culture of diversity, opportunity, inclusion, and respect\n\n Required qualifications, capabilities, and skills \n\n • Working knowledge of Infrastructure Platforms and Enterprise Server Operating Systems\n, • Working experience with both relational and NoSQL databasesâ\n, • Experience and proficiency across the data lifecycle\n, • Experience with database back-up, recovery, and archiving strategy\n\n Preferred qualifications, capabilities, and skills \n\n • \n Proven experience working in SRE or Infrastructure Deployment roles, \n • \n Mid level data pipeline or analytical product creation \n • \n Proven Data Quality issue root cause 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 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 Join us and shape the future of secure software delivery. As a Lead Security Engineer, you'll work at the intersection of security and platform engineering, designing impactful solutions that enable teams to move fast while managing risk. You'll collaborate with talented squads, contribute to a culture that values unique perspectives, and foster growth, impact, and innovation. This is your opportunity to make a difference and advance your career in a dynamic, engineering-led environment. We're committed to helping you thrive and grow. \n As a Lead Security Engineer at JPMorgan Chase in the Platform team, you will embed security into engineering workflows and deliver scalable, engineering solutions. You'll work at the intersection of security and platform engineering, actively designing, building, and implementing security capabilities. Your role is hands-on, collaborating with squads to reduce platform risk and enable secure software delivery. You'll help shape a modern, engineering-led approach to security, empowering teams to move fast while managing risk. Our culture values unique perspectives and fosters growth, impact, and innovation. \n Job Responsibilities: \n\n • Design, build, and operate scalable security capabilities integrated into engineering workflows\n, • Embed security into the software development lifecycle by implementing automated controls\n, • Improve software supply chain security through SBOM generation and dependency visibility\n, • Analyze and enrich vulnerability data with contextual information for effective remediation\n, • Provide actionable insights and guidance to engineering teams to address security issues\n, • Collaborate with platform and product engineering teams to drive secure development practices\n, • Identify and assess security risks in runtime and cloud environments, supporting remediation\n, • Support the development and operation of runtime security tooling for production risk visibility\n, • Contribute to security incident response activities, including triage and investigation\n, • Develop and maintain incident response processes, runbooks, and detection capabilities\n, • Work with risk, governance, and control teams to support reporting and compliance\n\n Required Qualifications, Capabilities, and Skills: \n\n • Hands-on experience in software, platform, or cloud engineering roles deploying systems in public cloud environments\n, • Strong ability to design and implement security controls within engineering workflows, especially CI/CD pipelines\n, • Proficiency in at least one programming or scripting language for automation and integration\n, • Solid understanding of the Software Development Life Cycle and integrating security practices\n, • Experience applying security testing and controls within CI/CD pipelines\n, • Familiarity with cloud-native technologies, including containerization and orchestration platforms\n, • Strong analytical and problem-solving skills to deliver practical security solutions\n, • Good understanding of modern engineering practices, including CI/CD, system resilience, and secure software delivery\n\n Preferred Qualifications, Capabilities, and Skills: \n\n • Experience in platform security, DevSecOps, or engineering-led security teams\n, • Familiarity with security tools such as Snyk and Wiz\n, • Knowledge of software supply chain security concepts, including SBOM, SLSA, and dependency management\n, • Cloud certifications, preferably GCP (e.g., Professional Cloud Architect, Professional DevOps Engineer)\n, • Experience operating in large-scale enterprise environments within regulated industries\n, • Ability to communicate technical risks clearly to engineering teams and senior stakeholders\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 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 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’re looking for a CRM Engineer to join our CRM team in London. You’ll support our global CRM team by building, maintaining, and improving the data and platform infrastructure that powers reliable, scalable CRM. \n In this role, you’ll focus on the technical foundations behind CRM, combining data engineering, platform architecture, and CRM systems understanding to ensure customer data is reliable, activation-ready, and easy to work with across our ecosystem. \n You’ll work across Kafka event streams, Snowflake, Braze, internal tools, and supporting integrations to transform raw product and customer data into trusted CRM-ready datasets, scalable activation systems, and effective CRM execution. \n You’ll often be the person the team turns to when something doesn’t look right, whether that’s a data inconsistency, event flow issue, customer attribute problem, integration failure, or CRM platform behaviour that doesn’t align with expectations. You enjoy solving technical problems methodically, working across systems, and improving the infrastructure that powers CRM long term. \n Here’s how you’ll be contributing to the CRM team: \n\n • Build and maintain the technical foundations that power CRM across Snowflake, Braze, Hightouch and supporting platforms\n, • Support the transformation and modelling of customer data within Snowflake to create reliable, CRM-ready datasets\n, • Validate customer events, attributes, identifiers and data quality to ensure accurate targeting, personalisation and reporting\n, • Support and improve CRM data pipelines, platform integrations and activation architecture\n, • Investigate and resolve issues across customer data, campaign logic, integrations and platform performance\n, • Support the day-to-day technical operation, implementation and optimisation of our CRM ecosystem, including Braze and supporting technologies\n, • Partner with CRM, Engineering and Analytics teams to translate lifecycle and marketing requirements into scalable technical solutions\n, • Improve CRM segmentation, targeting and activation reliability through stronger data quality, governance and architecture\n, • Build, support and troubleshoot Braze campaigns, audiences, templates and platform configurations to ensure reliable CRM execution\n, • Contribute to QA processes, documentation, operational workflows and technical best practices\n, • Share knowledge and help raise the team's understanding of CRM technology, data and platform capabilities\n\n This role will give you the opportunity to: \n\n • Become an expert across one of the industry's leading CRM technology stacks, including Braze, Snowflake, Hightouch and modern data tooling\n, • Work on the systems that power customer communications at global scale\n, • Solve complex technical challenges across CRM data, platform architecture, integrations and activation\n, • Shape the future of Wise's CRM technology ecosystem by improving scalability, reliability and governance\n, • Work closely with Engineering, Analytics, Product and CRM teams to deliver high-impact customer experiences\n, • Influence how CRM technology evolves through new capabilities, better data foundations and continuous platform improvements\n\n Qualifications \n About you: \n\n • You have 5+ years experience working in data, CRM technology, MarTech, or platform engineering roles\n, • You have strong SQL, data engineering, and data modelling experience (Snowflake or similar preferred)\n, • You have experience working with Kafka or similar event-streaming systems, or strong transferable experience working with event-driven customer data within Snowflake or similar data environments\n, • You have hands-on experience working with CRM or customer engagement platforms (Braze strongly preferred), including campaign builds, audience logic, data structures, and platform implementation\n, • You understand how customer data, attributes, events, and integrations power CRM systems\n, • You’re comfortable troubleshooting technical issues across data, APIs, integrations, and platform logic\n, • You approach problems methodically and enjoy working across both data systems and operational platforms\n, • You communicate clearly and can translate technical complexity into practical solutions\n, • You’re proactive about improving documentation, governance, workflows, and system reliability\n\n Nice to have: \n\n • Braze technical implementation experience\n, • Reverse ETL / activation tooling (e.g. Hightouch)\n, • API or integration engineering experience\n, • HTML / CSS / Liquid or templating familiarity\n\n Additional Information \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 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 Octopus Energy to connect them with exceptional professionals for this role. \n What we do. \n Electric Car Leasing \n Why we do it. \n Greener. Fairer. Future. \n At Octopus Electric Vehicles we’ve built a data platform that provides data services to all areas of our business. The aim of the platform is to enable self-service of data analytics to data hungry internal users as well as automation of all our data workflows - from simple ETL jobs to ML training and prediction. \n The data team at OEV is growing at speed. We have invested time and resources on establishing a core data platform, and are now leveraging technology to automate processes and reporting, so we can focus on improving how our data platform works as a system - from improving data latency and reliability, to thinking about making our data ready for productionised data science applications. \n We are looking for an experienced data engineer that is equally passionate about using technology to grow the business and decarbonise the UK’s fleet. \n This is a fantastic opportunity to work on data problems that genuinely move us closer to Net Zero with a company that is passionate about building great technology to change the way customers travel sustainably. \n What you'll do \n\n • \n Own and optimise our platform architecture (improve reliability, scalability, maintainability, etc) \n • \n Build new data sources and data pipelines that deliver key data and insights to the business (this will include integration with third party systems and ingestion through APIs) \n • \n Scope and deliver new data engineering projects in collaboration with business stakeholders \n • \n Develop and deploy ML infrastructure to help build out our ever-growing AI requirements and use cases \n • \n Collaborate closely with our dev teams to build seamless integrations between our back-end databases and our data platform \n • \n Shape the direction of our growing team and coach team members on best practices \n\n What you'll have \n\n You don’t need experience with electric vehicles (we can teach you that!), but having worked in similar environments might be a bonus. \n • \n First and foremost, a passion for decarbonisation \n • \n Ability to work with ambiguity and own problems end-to-end \n • \n A passion for writing high quality code and building lean processes \n • \n Experience with distributed data processing \n • \n Experience with monitoring, testing, and data quality \n • \n Experience building robust pipelines from diverse sources e.g. parquet, SQL & no-SQL databases, API endpoints \n • \n It would be helpful to have experience/expertise/knowledge in the following: \n • \n Python \n • \n AWS \n • \n Kubernetes \n • \n Spark & distributed computing \n • \n dbt \n • \n Terraform \n • \n Data Warehousing (we use Databricks but experience with other platforms is fine) \n • \n MLOps implementation (desirable but not required) \n • \n Airflow (or other orchestration tooling) \n • \n Governance \n\n Why else you'll love it here \n\n • Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit!\n, • Octopus Energy Group is a unique culture. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! Visit our perks hub - Octopus Employee Benefits\n, • Octopus Electric Vehicles, part of the Octopus Energy Group, won the Sunday Times best company to work for in 2024. We were named 6th out of the top 100 start-ups to work for by Tempo in 2025 and on Glassdoor we were voted 50 best places to work in 2022. Our Group CEO, Greg has recorded a podcast about our culture and how we empower our people. We’ve also been placed in the top 10 companies for senior leadership\n\n Things to note \n\n • Just to let you know, we are dog friendly company so you may see our 4 legged friends in the offices - feel free to bring yours! Rest assured though, we've taken lots of precautions for those who have allergies\n, • \n We use AI to help us assess applications fairly and objectively. We’re totally fine with you using AI as a tool to help prepare too. That said, when we get to the interview and assessment stage, we’re really interested in hearing your unique perspective and real-world stories. That’s the stuff we can’t get from a bot or a prompt! \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 Every day, Wise engineers deploy thousands of changes across hundreds of services. The Continuous Delivery team builds the platform that helps them do this safely, without turning delivery controls into a bottleneck. \n That challenge is becoming more important as AI-assisted development increases the volume and speed of software changes. We need to maintain strong safety and reliability standards while adapting our delivery platform to code and configuration increasingly produced with AI tools and agents. \n About the role \n You’ll join the team responsible for Wise’s Continuous Delivery platform. You’ll work primarily in Java & Go, extending Spinnaker and building the services and integrations around it. \n This is a hands-on engineering role with scope to influence the platform’s technical direction. You’ll take problems from discovery and design through to implementation and operation, working with teams across Platform Engineering and the wider company. \n We’re looking for someone who enjoys distributed systems, shared infrastructure, and problems where a seemingly small design decision can affect hundreds of services. You should be comfortable using deployment data, reliability metrics, and engineer feedback to decide where the team should invest. \n What you’ll work on \n\n • \n Design, build, and operate capabilities within Wise’s Continuous Delivery platform. \n • \n Evolve our use of the Open Source CD tool Spinnaker and contribute improvements upstream where appropriate. \n • \n Build reliable guardrails that help engineers deploy changes safely with minimal manual effort. \n • \n Improve the shared foundations of the platform in partnership with other Platform Engineering teams. \n • \n Use telemetry and feedback to understand how the platform performs and where engineers experience friction. \n • \n Work directly with engineering teams as they adopt new deployment patterns and platform capabilities. \n • \n Contribute to technical design, code reviews, documentation, and the development of other engineers. \n\n Qualifications \n What you’ll bring \n\n • \n Strong experience building and operating production systems in Java. \n • \n Experience designing distributed services and APIs, including testing, monitoring, and failure handling. \n • \n Practical experience with a cloud platform such as AWS or GCP. \n • \n Experience working with containers and an orchestration platform such as Kubernetes. \n • \n A track record of automating operational work and building repeatable tooling. \n • \n Experience owning shared or mission-critical infrastructure. \n • \n The ability to turn complex requirements into understandable, maintainable solutions. \n • \n A willingness to challenge existing approaches, share what you know, and learn from others. \n\n What you might also have \n\n • \n Experience with Spinnaker or another large-scale CI/CD platform. \n • \n Practical experience applying SRE principles, such as service-level objectives, error budgets, and automated incident prevention. \n • \n Familiarity with observability tooling such as Prometheus, Grafana, Elastic, or distributed tracing. \n • \n Knowledge of cloud networking and security. \n • \n Experience working in a regulated environment or with standards such as PCI DSS. \n • \n Experience with capacity planning, performance testing, or load testing. \n • \n Experience producing clear technical documentation and architecture diagrams. \n\n What you will gain \n\n • \n Meaningful influence over a platform used by engineers across Wise. \n • \n The opportunity to solve engineering problems at company-wide scale. \n • \n Scope to contribute to open source software. \n • \n Support to develop your technical leadership and help other teams improve how they deliver software. \n • \n A flexible working environment and regular team and company events. \n\n Additional Information \n Interested? Find out more: \n\n • \n How we work – a practical guide \n • \n DEI @ Wise \n • \n Wise Tech Stack (2025 update) \n • \n See what it's like to work at Wise London! \n • \n Our Engineering career map \n • \n Wise Engineering – https://medium.com/wise-engineering \n\n What do we offer: \n\n • \n Starting salary: £87,500- £111,000 GBP + RSUs \n • \n Wise Benefits \n\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 J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Join a high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. \n As an Applied AI / ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI - powered products and services and increasing opportunity for re-use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. \n Job responsibilities \n\n • Build robust Data Science capabilities which can be scaled across multiple business use cases\n, • Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems\n, • Research and analyse data sets using a variety of statistical and machine learning techniques\n, • Communicate AI capabilities and results to both technical and non-technical audiences\n, • Document approaches taken, techniques used and processes followed to comply with industry regulation\n, • Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions.\n, • Act as an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate's experience.\n\n Required qualifications, capabilities, and skills \n\n • Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics\n, • Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.)\n, • Specialism or well-researched interest in NLP\n, • Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc.\n, • Experience monitoring, maintaining, enhancing existing models over an extended time period\n, • Extensive experience with pytorch and related data science python libraries (e.g. pandas)\n, • Experience of containerising applications or models for deployment (Docker)\n, • Experience with one of the major public cloud providers (Azure, AWS, GCP)\n, • Ability to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders.\n\n Preferred qualifications, capabilities, and skills \n\n • Experience designing/ implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray)\n, • Experience of big data technologies\n, • Have constructed batch and streaming microservices exposed as REST/gRPC endpoints\n, • Experience with container orchestration tools (e.g. Kubernetes, Helm) \n, • Knowledge of open source datasets and benchmarks in NLP\n, • Hands-on experience in implementing distributed/multi-threaded/scalable applications\n, • Track record of developing, deploying business critical machine learning models\n\n #CIBAppliedAI \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 J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Take a technical leadership position within JPMorgan's Commercial & Investment Bank, where you'll harness cutting-edge AI techniques to revolutionize business decisions and automate processes. \n As an Applied AI / ML Lead - Vice President - Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI - powered products and services and increasing opportunity for re-use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate's experience. \n Job responsibilities \n\n • Build robust Data Science capabilities which can be scaled across multiple business use cases\n, • Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems\n, • Research and analyse data sets using a variety of statistical and machine learning techniques\n, • Communicate AI capabilities and results to both technical and non-technical audiences\n, • Document approaches taken, techniques used and processes followed to comply with industry regulation\n, • Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions \n \n\n Required qualifications, capabilities, and skills \n\n • Hands on experience in an ML engineering role\n, • Masters degree or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics\n, • Track record of developing, deploying business critical machine learning models \n, • Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc\n, • Experience monitoring, maintaining, enhancing existing models over an extended time period\n, • Specialism in NLP or Computer Vision\n, • Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.)\n, • Extensive experience with pytorch, numpy, pandas\n, • Hands-on experience in implementing distributed/multi-threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.)\n, • Able to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders.\n\n Preferred qualifications, capabilities, and skills \n\n • Experience designing/ implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray)\n, • Experience of big data technologies (e.g. Spark, Hadoop)\n, • Have constructed batch and streaming microservices exposed as REST/gRPC endpoints\n, • Familiarity with GraphQL\n\n #CIBAppliedAI \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 J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Behind every investment is a person with ambitions, motivations and values. While we know that every client is unique, they come to J.P. Morgan Personal Investing for the same reason: our straightforward and transparent approach to investing, and the trust that 150 years of J.P. Morgan heritage brings. \n J.P. Morgan Personal Investing offers award-winning investments, products and digital wealth management services to over 275,000 investors in the UK. We built the business with innovation as a core part of our ethos to give consumers the confidence and clarity to make informed investment decisions and achieve their financial goals. \n As an Engineer at J.P. Morgan Personal Investing, you will be part of a team with great ambitions. We aim to build a top-in-market suite of mobile and web apps to provide the best investment experience for our clients. \n Our team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. We're looking for people who have a curious mindset, thrive in collaborative squads, and are passionate about building quality software that has a big impact in a rapidly changing environment. By their nature, our people are also solution-oriented, commercially savvy and have a head for fintech. We work in tribes and squads that focus on specific products and projects. \n About the role: \n J.P. Morgan Personal Investing is strengthening its production management capability to support a growing portfolio of wealth products built on a common Investment Platform. \n We are seeking a Head of Production Management to lead and evolve production operations across JPM Personal Investing, taking end-to-end accountability for the stability, resilience, and risk posture of our production and disaster recovery environments. In this role, you will define and govern production management standards across change, incident, capacity, and automation disciplines - driving operational consistency and minimising disruption to our UK customers. Working within a you-build-it-you-run-it engineering culture, you will not replace team ownership of production services but rather enable, empower, and elevate it - setting the frameworks, tooling, and governance that allow engineering teams to run their services with confidence and accountability. You will be responsible for building, funding, and leading a high-performing production management function, fostering a mature run-the-bank culture where operational excellence is a shared responsibility embedded into every team. This is an opportunity to raise the bar on how JPM Personal Investing operates in production, ensuring our operational maturity keeps pace with our growth ambitions and service commitments. \n Key Responsibilities: \n\n • Build, fund, and lead a high-performing production management function - owning hiring budgets, headcount forecasting, and team structure to deliver against strategic priorities. \n, • Define and drive the production management strategy for JPM Personal Investing, setting the standards, frameworks, and governance that enable engineering teams to run their services with confidence under a you-build-it-you-run-it model. \n, • Partner with Engineering, Product, and Operations leaders to embed production management disciplines - change, incident, capacity, and automation - into team ways of working, ensuring operational excellence is a shared responsibility rather than a centralised function. \n, • Foster a mature run-the-bank culture of collaboration, accountability, continuous improvement, and operational excellence across JPM Personal Investing. \n, • Enable cross-functional alignment across JPM PI engineering teams through clear production standards, effective runbooks, decision records, and well-communicated operational roadmaps. \n, • Own the production risk posture for JPM Personal Investing, ensuring controlled change, rapid incident recovery, and scalable capacity in alignment with business growth and service commitments to firm customers. \n, • Partner with Risk, Compliance, and Controls to ensure production operations align with the firm's policies, standards, and regulatory requirements, and to support internal and external audits. \n, • In collaboration with the ICB Incident Management team, own incident management strategy, escalation frameworks, and post-incident reviews, driving a culture of learning that improves reliability and reduces toil across all teams. \n, • Supervise and govern change management processes, ensuring all production changes are properly assessed, authorised, and validated to minimise disruption and protect environment integrity. \n, • Drive adoption of AI-powered solutions and intelligent automation to reduce manual intervention, fast-track resolution, and continuously improve operational efficiency. \n, • Champion an automation-first, shift-left SRE culture leveraging shared tooling and automation to ensure consistency, reduce duplication, and maintain alignment with firmwide standards. \n, • Oversee capacity management and planning, ensuring infrastructure scales to meet current and future demand while maintaining performance and cost efficiency. \n, • Manage, mentor, and grow production management professionals, providing career pathways, constructive feedback, and succession planning. \n, • Drive a continuous improvement loop from production incident data into lower environment practices, test coverage, and shift-left initiatives upstream \n, • Oversee vendor relationships and third-party service management within production operations, ensuring appropriate SLAs, ROI, compliance, and contractual performance to support operational resilience. \n\n Required Qualifications \n\n • 10+ years of experience in production management, site reliability engineering, or IT operations, with 5+ years in senior leadership positions accountable for production stability at scale. \n, • Strong product and business mindset with experience supporting high-profile consumer-facing digital platforms in financial services, fintech, or similarly regulated environments. \n, • \n Demonstrated experience designing and scaling agentic AI-enabled development patterns (using enterprise-authorized tools within the work environment) across teams/functions, including establishing governance for human-in-the-loop validation, traceability/auditability, and secure handling of sensitive inputs/outputs. \n • \n Strong understanding of responsible AI use and control expectations at scale, including security/resiliency implications, data sensitivity, and risk-based governance; ability to advise senior leaders on safe adoption, reuse, and measurable outcomes. \n\n\n • Exceptional communication and stakeholder management skills, with the ability to influence across technical and non-technical audiences in complex, regulated environments. \n, • Strong technical background in modern production environments including cloud-native infrastructure, observability, CI/CD pipelines, and automation frameworks. \n, • Proven track record defining and governing production management standards - change, incident, capacity, and automation - across multiple engineering teams operating in a you-build-it-you-run-it model, underpinned by SRE principles and disaster recovery planning. \n, • Composure, decisiveness, and authority during incidents, vendor failure, or regulatory escalation, with a proven ability to protect business lines under operational stress. \n, • Strategic vision - translates complex problems into compelling, executable multi-year roadmaps with measurable outcomes. \n, • Transformation leadership - leads operating model redesign and capability uplift through ambiguity and at pace. \n, • Experience leveraging AI-driven solutions to reduce manual intervention, accelerate incident resolution, and enhance operational efficiency. \n, • Experience managing strategic vendor relationships and third-party service providers, including SLA negotiation, performance governance, and holding vendors accountable to deliver against operational and contractual commitments. \n, • Excellent coaching, feedback, and talent development skills, with experience building and scaling production-focused teams and driving workforce transformation. \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 Dunnhumby Ltd to connect them with exceptional professionals for this role. \n We're looking for a Platform Engineer to join our Application Platform team. You'll help build and operate the deployment platform, tooling, and developer experience that every engineering team at dunnhumby relies on to ship software to production. \n \n This role can be based from either our London or Manchester office. \n You'll join at a moment when we're moving our retail analytics platform from monthly bundled releases to continuous per-service deployment on Kubernetes. You'll be hands-on with that migration in your first few months and then stay on long-term as a core member of the team that owns and evolves the platform. It's a clear path into senior platform engineering for someone who has shipped production Kubernetes work and wants to grow their craft on a platform used by hundreds of engineers. \n \n Responsibilities \n\n • Build and maintain the platform primitives that enable service teams to deploy independently, including ArgoCD application manifests, GitOps repository lifecycles, reusable Helm chart templates, and External Secrets Operator configuration.\n, • Pair with engineers across product and data teams as they onboard onto the new platform, addressing repeated questions at the template layer to prevent recurring issues.\n, • Contribute to platform design discussions and help shape the paved road that engineers across dunnhumby build on.\n, • Author and maintain reusable GitLab CI pipeline templates covering build, test, publish, deploy, and post‑deploy stages.\n, • Work with service teams to migrate pipelines onto the platform standard and retire bespoke per‑service deployment scripts.\n, • Continuously improve build times, pipeline reliability, and developer feedback loops.\n, • Respond to platform alerts during working hours, triaging ArgoCD sync failures, secret synchronisation errors, and flaky pipelines.\n, • Join the Application Platform on‑call rotation once ramped up (typically after the first few months).\n, • Instrument platform tooling with structured logging and dashboards to improve visibility without manual investigation.\n, • Write unit and integration tests to meet SonarQube coverage requirements and create smoke tests for deployment workflows — no green CI, no merge.\n, • Keep migration playbooks, ArgoCD setup guides, and per‑service pipeline documentation accurate and up to date.\n, • Share learnings with the squad through regular knowledge‑sharing sessions.\n\n \n What we expect from you: \n\n • Strong professional software or platform engineering experience, shipping code or infrastructure to production within a team environment\n, • Hands‑on Kubernetes experience on GKE, AKS, or EKS, with confidence using Deployments, Services, Ingress, ConfigMaps, Secrets, and RBAC\n, • Helm experience, including writing or substantially modifying charts, with a solid understanding of values files, templates, hooks, and chart dependencies\n, • Experience with GitLab CI or a comparable CI tool (e.g. GitHub Actions, Azure DevOps, Jenkins, CircleCI), having built or meaningfully modified pipelines rather than just used them\n, • Production experience with Python or Go, with the ability to discuss real code from professional work\n, • Confidence working with Linux, Bash, Docker, and standard Unix tooling\n, • Strong Git practices within a team environment, including branching strategies, PR/MR workflows, review feedback, and merge conflict resolution\n, • A proven track record of shipping to production in a professional team setting (not solely prototype or personal projects)\n, • Exposure to ArgoCD, Flux, or another GitOps tool is a strong plus\n, • Experience with External Secrets Operator, Vault, or similar secret‑sync patterns is beneficial\n, • Familiarity with Terraform, multi‑cloud environments (GCP and Azure), observability tooling (e.g. New Relic, Datadog, Prometheus, Grafana), or contract testing with Pact would be valuable\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 About the role: \n Join us as a Platform Engineer in the Risk Domain, where you'll build the systems that make safe, global products possible. As part of our Platform Engineering team, you'll be at the intersection of Product and Risk – crafting systems that allow internal teams to ship faster, safer, and smarter. You won't just be writing code. You'll be building foundational services that other teams rely on to launch features across global markets. \n How we work: \n You'll be joining a team that values autonomy, creativity, and collaboration. We're building a platform from the ground up, with the support and reach of a product org that ships globally. Your work won't just scale technology – it'll scale trust. \n What will you be working on? \n We're designing a centralized risk platform – a system that unifies data and decision-making across identity verification, fraud detection, compliance, and more. This platform acts as the connective tissue between teams working on money movement, regional expansion, and customer safety. \n • Accelerate delivery: Enable product teams to launch faster with built-in risk tooling \n • Empower risk teams: Give them the systems they need to assess, respond, and protect—without blocking development \n • Drive real impact: Your work will directly reduce fraud, improve trust, and help us scale safely \n Qualifications \n What do you need? \n We are fully aware that it is uncommon for a candidate to have all skills required and we fully support everyone in learning new skills with us. So if you have some of those listed below and are eager to learn more we do want to hear from you! \n\n • \n Strong proficiency in backend programming languages like Java, Python or Go. \n • \n Passion for building at scale – You've worked on high-throughput systems and know what it takes to keep services fast and reliable \n • \n Deep interest in system design – You think in terms of platforms, not just features \n • \n A desire to build meaningful infrastructure – You care about enabling others, not just shipping your own code \n • \n Excellent verbal and written communication skills, with the ability to convey technical concepts to both technical and non-technical audiences. \n\n Nice to Have: \n\n • Experience working in fintech or high-trust domains like risk, identity, or compliance\n, • Experience in messaging systems such as Kafka is a plus.\n\n Additional Information \n Interested? Find out more: \n\n • \n How we work – a practical guide \n • \n DEI @ Wise \n • \n Wise Tech Stack (2025 update) \n • \n See what it's like to work at Wise London! \n • \n Our Engineering career map \n • \n Wise Engineering – https://medium.com/wise-engineering \n\n What do we offer: \n\n • \n Starting salary: 87K - 111K GBP + RSUs \n • \n Wise Benefits \n\n #LI-AB3 #LI-Hybrid \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.