Java Sr Lead Software Engineer - Oms, Equities

JPMorgan Chase JPMorgan Chase · Banking · LONDON, LONDON, United Kingdom · Commercial & Investment Bank

Senior Lead Software Engineer for OMS, Equities at JPMorgan Chase in London. The role involves designing and delivering technology products, executing software solutions, and creating secure production code. A key responsibility is driving the adoption and governance of AI-assisted engineering practices, including code review, test acceleration, and incident analysis, while ensuring responsible AI use and adherence to security and resiliency standards. The role requires expertise in Java 17+, OOP, data structures, algorithms, and distributed systems, with a focus on applying AI tools within the SDLC.

What you'd actually do

  1. Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  2. Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  3. Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
  4. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
  5. Develop and maintain OMS solutions using Java 17+

Skills

Required

  • Java (17 or above)
  • OOP
  • data structures
  • algorithms
  • Java garbage collection (GC)
  • multi-threaded and distributed systems
  • enterprise-authorized AI-assisted software development tools
  • responsible AI use in engineering workflows
  • problem-solving skills
  • attention to detail
  • communication skills
  • collaboration skills

Nice to have

  • OMS platforms
  • KDB
  • AI/ML concepts
  • AWS
  • JavaScript
  • modern JavaScript frameworks
  • React/Angular

What the JD emphasized

  • Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.