Java Lead Software Engineer — Digital Markets Execution Technology, Execute

JPMorgan Chase & Co.; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer in Greater London to enhance, build, and deliver trusted market-leading technology products. You will lead the technical analysis, design high-performance trading systems, and ensure the stability and reliability of the systems.

The ideal candidate should have advanced experience in Java, knowledge of microservices, and CI/CD processes. You'll also guide integration contracts and uphold secure engineering practices while mentoring fellow engineers.

Qualifications

• Hands-on experience delivering system design and application development for mission-critical platforms.
• Advanced in one or more programming languages with deep hands-on expertise in Java.
• Experience designing clean APIs and rollout strategies for distributed systems.

Responsibilities

• Execute and oversee end-to-end software solutions for trading systems.
• Design and build high-performance, latency-sensitive services.
• Lead incident response and improve production stability.

Skills

Java (17+)

Spring/Spring Boot

Microservices

Kubernetes

Linux

APIs design

CI/CD

Enterprise-approved AI-assisted tools

Education

Formal training or certification in software engineering

Job description

As a Lead Software Engineer at JPMorganChase within Digital Markets Execution Technology, Execute, 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.

Job 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

Required qualifications, capabilities, and skills

• 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 (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 and secure handling of inputs/outputs, aligned to resiliency and security expectations
• Effective communication with technical and non‑technical audiences; ability to operate in globally distributed teams

Preferred qualifications, capabilities, and skills

• Exposure to messaging systems and market protocols (e.g., MQ/Kafka; familiarity with FIX and Solace)
• Experience with observability stacks and resilience engineering for low‑latency / latency‑sensitive platforms
• Familiarity with Python
• Experience operating services in regulated environments with strong auditability and controls