{"id":2977523,"url":"https://alion.io/job/jpmorganchase-lead-software-engineer-pythonjava-aiml-equity-derivatives","title":"Lead Software Engineer - Python/Java, AI/ML - Equity Derivatives","company":{"id":257,"name":"JPMorganChase","domain":"jpmorganchase.com","url":"https://alion.io/company/jpmorganchase","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":91,"open_postings":954,"ghost_share":0.006,"stale_share":0.526,"repost_share":0.061,"time_to_fill_p50_days":9,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":130000,"max_usd":262000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":49},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Hibernate","optional":false},{"name":"JavaScript","optional":false},{"name":"JUnit","optional":false},{"name":"Maven","optional":false},{"name":"Python","optional":false},{"name":"Spring Boot","optional":false},{"name":"Spring Data JPA","optional":false},{"name":"TypeScript","optional":false},{"name":"Java","optional":true},{"name":"React.js","optional":true}],"status":"live","first_seen_at":"2026-07-01T08:49:49Z","employer_posted_date":"2026-07-01","last_verified_at":"2026-10-22T06:10:52Z","board_verified":true,"closed_at":null,"days_open":112,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":112},"description":"Join us and elevate your software engineering career. You’ll design market-leading technology products that drive innovation in financial services. At JPMorganChase, you’ll collaborate with talented teams, grow your skills, and make a real impact. We value your expertise and offer a dynamic environment where your ideas drive progress. Be part of a team that supports your growth and celebrates your success.\nAs a Lead Software Engineer in the Markets Technology team, you will design and deliver secure, stable, and scalable technology solutions that support our business objectives. You will work within an agile team, collaborating across functions to create trusted products. You will help shape the architecture and development of complex applications, ensuring high standards and continuous improvement. Your contributions will directly impact our clients and the success of our business.\nJob Responsibilities:\nOwn production outcomes for critical Equity Derivatives workflows, including monitoring, incident triage, stakeholder communication, mitigation, and root cause follow-through\nExecute software solutions through design, development, testing, release, and technical troubleshooting\nCreate secure, high-quality production code and maintain services and integrations with critical systems\nProduce architecture and design artifacts for complex applications, ensuring alignment with design constraints and operational requirements\nCollaborate with front office, operations, and technology teams to gather requirements, define acceptance criteria, and align on product specifications\nDrive user acceptance testing (UAT) planning and execution for changes impacting pricing, booking, and risk, including test strategy, defect triage, evidence collection, and sign-offs\nDrive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting reuse of effective patterns\nApply knowledge of the Software Development Life Cycle toolchain, including AI-assisted development and automation capabilities, to maximize automation value\nMaintain strong release discipline, including regression assessment, rollback/fallback planning, post-deployment verification, and observability improvements\nGather and synthesize data and telemetry to develop reporting and metrics that improve stability, quality, and delivery predictability\nIdentify hidden failure patterns in production and drive improvements in coding hygiene, system architecture, and operational readiness\nRequired Qualifications, Capabilities, and Skills:\nBachelor’s degree in Computer Science, Engineering, or equivalent practical experience\nStrong software engineering fundamentals with hands-on experience across the software development lifecycle, including system design, development, testing, release, and production support\nProficiency in Python, Java, and JavaScript or TypeScript\nExperience building and supporting production-grade systems\nExperience in large-scale enterprise environments, developing, debugging, and maintaining code and data integrations using modern programming and database querying languages\nFamiliarity with engineering frameworks and tooling such as JUnit, Maven, Spring Boot, Spring Data JPA, Spring Batch, and Hibernate\nDemonstrated experience leading effective use of approved AI-assisted software development tools, with the ability to set team expectations for validating AI outputs for correctness, performance, and security\nStrong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations; 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