Java Lead Engineer — Latency‑Focused Trading Systems

JPMorgan Chase & Co.; Greater London; On-site; GBP 110,000 - 140,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer for Digital Markets Execution Technology in Greater London to drive end-to-end software solutions for trading systems.

You will design high-performance, latency-sensitive services, ensure security, and lead architecture sessions and code reviews with globally distributed teams. The role requires advanced Java (17+), Spring Boot, microservices, Kubernetes, Linux, and strong API design skills, plus experience with AI-assisted development

Qualifications

• Formal training or certification on software engineering concepts and advanced applied experience (EMEA/LATAM-Brazil)
• Hands-on practical experience delivering system design, application development, testing, and operational stability for mission-critical platforms
• Advanced in one or more programming language(s), with deep hands-on expertise in Java (17+), including concurrency, memory management, and object-oriented design
• Demonstrated experience designing clean APIs and rollout strategies for distributed systems (including integration and backward compatibility considerations)
• Practical experience with Spring/Spring Boot, microservices, Kubernetes, Linux, and core networking/messaging concepts
• Proficient in all aspects of the Software Development Life Cycle, including CI/CD, automated testing practices, application resiliency, and security
• Demonstrated experience leading effective use of enterprise-approved AI-assisted software development tools 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 and secure handling of inputs/outputs
• Effective communication with technical and non-technical audiences; ability to operate in globally distributed teams

Responsibilities

• Executes and oversees end-to-end software solutions, engineering standards, architecture, and technical troubleshooting for trading systems
• Designs and builds high-performance, latency-sensitive services with awareness of upstream/downstream system dependencies
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Leads technical analysis, estimation, planning, code reviews, architecture sessions, and retrospectives to drive delivery outcomes
• Establishes reliability goals and implements observability, resilience patterns, and operational readiness practices
• Leads incident response and post-incident reviews to improve production stability and performance; identifies recurring issues and drives automation/remediation
• Upholds secure-by-default engineering practices and risk/control standards across the SDLC
• Guides integration contracts, API/versioning strategies, and deprecation paths for platform services
• Drives team adoption of enterprise-authorized AI-assisted engineering practices across the SDLC toolchain to improve code quality, delivery speed, and operational outcomes, while setting validation standards for correctness, performance, and security
• Mentors engineers and contributes to a culture of inclusion, respectful collaboration, and continuous improvement aligned to measurable outcomes

Skills

Java (17+)

Spring/Spring Boot

APIs & distributed systems

CI/CD & automated testing

AI-assisted development tools

Observability & resiliency

Secure SDLC practices

Distributed teams communication

Education

Bachelor's degree in Computer Science or related field

Tools

Kubernetes

Linux

Kafka

Job description

JPMorgan Chase & Co. is seeking a Lead Software Engineer for Digital Markets Execution Technology in Greater London to drive end-to-end software solutions for trading systems.

You will design high-performance, latency-sensitive services, ensure security, and lead architecture sessions and code reviews with globally distributed teams. The role requires advanced Java (17+), Spring Boot, microservices, Kubernetes, Linux, and strong API design skills, plus experience with AI-assisted development