Salary
≈ $135k – $273k per year (Estimated)
Location
In office (London)
Seniority
Staff
Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Jun 29, 2026. JPMorganChase scores A on the Alion truth index.
Overview
Company
Impact
Profile match
JPMorganChase is the largest bank in the United States by assets and one of the most systemically important financial institutions in the world, with a lineage running back through more than a thousand predecessor firms to the 1799 founding of the Bank of the Manhattan Company. It combines a dominant investment bank and markets business with Chase, the largest retail banking franchise in America, plus commercial banking and asset and wealth management. Headquartered in New York, the group is unusual among banks for the scale of its technology spending, running one of the largest engineering organisations of any financial institution and deploying its own internal AI platform across the firm.
Backed by Balderton Capital, Radical Partners, team@irregular
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
- 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
- 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
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