Lead Software Engineer, Equity Derivatives — AI-Driven Market Tech

JPMorgan Chase & Co.; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

JPMorgan Chase & Co. in London is seeking a Lead Software Engineer to design and deliver secure, scalable technology solutions for Markets Technology.

You will work in an agile team, shaping architecture and driving high standards across critical equities workflows. You will own production outcomes, lead design and implementation, and collaborate with front office and operations to align on product requirements, tests, and deployment practices, including AI-assisted development and robust

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• Strong fundamentals across the software development lifecycle (design, development, testing, release, production support).
• Proficiency in Python, Java, and JavaScript or TypeScript.
• Experience building and supporting production-grade systems.
• Experience in large-scale enterprise environments with data integrations.
• Familiarity with JUnit, Maven, Spring Boot, Spring Data JPA, Spring Batch, and Hibernate.
• Experience leading effective use of approved AI-assisted software development tools and validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, data sensitivity, secure handling of inputs/outputs, and security.
• Strong analytical thinking, problem solving, and debugging.
• Experience delivering in an Agile environment.

Responsibilities

• Own production outcomes for critical Equity Derivatives workflows, including monitoring, incident triage, stakeholder communication, mitigation, and root cause follow-through
• Execute software solutions through design, development, testing, release, and technical troubleshooting
• Create secure, high-quality production code and maintain services and integrations with critical systems
• Produce architecture and design artifacts for complex applications, ensuring alignment with design constraints and operational requirements
• Collaborate with front office, operations, and technology teams to gather requirements, define acceptance criteria, and align on product specifications
• Drive user acceptance testing (UAT) planning and execution for changes impacting pricing, booking, and risk, including test strategy, defect triage, evidence collection, and sign-offs
• Drive 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
• Apply knowledge of the Software Development Life Cycle toolchain, including AI-assisted development and automation capabilities, to maximize automation value
• Maintain strong release discipline, including regression assessment, rollback/fallback planning, post-deployment verification, and observability improvements
• Gather and synthesize data and telemetry to develop reporting and metrics that improve stability, quality, and delivery predictability
• Identify hidden failure patterns in production and drive improvements in coding hygiene, system architecture, and operational readiness

Skills

Strong software engineering

Python

Java

JavaScript/TypeScript

Agile practices

Production-grade systems

Education

Bachelor’s degree in Computer Science or Engineering or equivalent

Tools

JUnit

Maven

Spring Boot

Spring Data JPA

Spring Batch

Hibernate

AI-assisted tooling

Job description

JPMorgan Chase & Co. in London is seeking a Lead Software Engineer to design and deliver secure, scalable technology solutions for Markets Technology.

You will work in an agile team, shaping architecture and driving high standards across critical equities workflows. You will own production outcomes, lead design and implementation, and collaborate with front office and operations to align on product requirements, tests, and deployment practices, including AI-assisted development and robust