Sr Lead Software Engineer — Digital Markets Execution Technology, Execute

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

Job summary

JPMorganChase in London seeks a Lead Software Engineer to contribute as a core technical member within Digital Markets Execution Technology. You will design and deliver secure, scalable trading software, mentor engineers, and drive architectural excellence across distributed systems while championing AI-assisted engineering practices.

You will collaborate across globally distributed teams, oversee incident responses, and uphold strict security and resiliency standards throughout the SDLC.

Qualifications

• Formal training or certification on software engineering concepts
• Hands-on experience delivering system design and production-grade code for mission-critical platforms
• Strong Java (17+) experience including concurrency and OO design
• Experience designing clean APIs and rollout strategies for distributed systems
• Proficiency with Spring/Spring Boot, microservices, Kubernetes, Linux, and core networking concepts
• Experience with CI/CD, automated testing, resiliency, and security practices
• Experience leading effective use of AI-assisted software development tools
• Understanding of responsible AI use and secure data handling
• Strong communication across globally distributed teams

Responsibilities

• Executes and oversees end-to-end software solutions and troubleshooting for trading systems
• Designs high-performance, latency-sensitive services with awareness of upstream/downstream dependencies
• Develops secure production code and reviews peers' work
• Leads technical analysis, planning, code reviews, architecture sessions, and retrospectives
• Sets reliability goals and implements observability and resilience practices
• Leads incident response and post-incident reviews to improve stability
• Upholds secure-by-default engineering practices and risk controls across the SDLC
• Guides integration contracts and API/versioning strategies for platform services
• Drives adoption of enterprise AI-assisted engineering with validated outputs
• Mentors engineers and fosters inclusive, collaborative culture
• Ensures secure data handling and compliance in engineering workflows

Skills

Java (17+)

APIs & microservices

CI/CD practices

Security

Distributed systems design

Team leadership & mentoring

Communication with stakeholders

AI-assisted engineering awareness

Education

Software engineering certification

Tools

Spring Boot

Kubernetes

Linux

Messaging systems (MQ/Kafka)

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