Lead Software Engineer - Java​/Python - Equity Derivatives - Front Office Quant Developer

Position: Lead Software Engineer - Java / Python - Equity Derivatives - Front Office Quant Developer
Join us and elevate your software engineering career. You’ll design market-leading technology products that drive innovation in financial services. At JPMorgan

Chase, you’ll collaborate with talented teams, grow your skills, and make a real impact. We value your expertise and offer a dynamic environment where your ideas drive progress. Be part of a team that supports your growth and celebrates your success.

As a Lead Software Engineer in the Markets Technology team, you will design and deliver secure, stable, and scalable technology solutions that support our business objectives. You will work within an agile team, collaborating across functions to create trusted products. You will help shape the architecture and development of complex applications, ensuring high standards and continuous improvement. Your contributions will directly impact our clients and the success of our business.

Job Responsibilities:

Own production outcomes for critical Equity Derivatives workflows, including monitoring, incident triage, stakeholder communication, mitigation, and root cause follow-through

Execute software solutions through design, development, testing, release, and technical troubleshooting

Create secure, high-quality production code and maintain services and integrations with critical systems

Produce architecture and design artifacts for complex applications, ensuring alignment with design constraints and operational requirements

Collaborate with front office, operations, and technology teams to gather requirements, define acceptance criteria, and align on product specifications

Drive user acceptance testing (UAT) planning and execution for changes impacting pricing, booking, and risk, including test strategy, defect triage, evidence collection, and sign-offs Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting reuse of effective patterns

Apply knowledge of the Software Development Life Cycle toolchain, including AI-assisted development and automation capabilities, to maximize automation value

Maintain strong release discipline, including regression assessment, rollback/fallback planning, post-deployment verification, and observability improvements

Gather and synthesize data and telemetry to develop reporting and metrics that improve stability, quality, and delivery predictability

Identify hidden failure patterns in production and drive improvements in coding hygiene, system architecture, and operational readiness

Required Qualifications , Capabilities, and

Skills:

Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience

Strong software engineering fundamentals with hands-on experience across the software development lifecycle, including system design, development, testing, release, and production support

Proficiency in Python, Java, and JavaScript or Type Script Experience  building and supporting production-grade systems

Experience in large-scale enterprise environments, developing, debugging, and maintaining code and data integrations using modern programming and database querying languages

Familiarity with engineering frameworks and tooling such as JUnit, Maven, Spring Boot, Spring Data JPA, Spring Batch, and Hibernate Demonstrated experience leading effective use of 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, secure handling of inputs and outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

Strong analytical thinking, structured problem solving, and debugging skills

Excellent communication and stakeholder management skills

Experience delivering in an Agile environment, managing multiple priorities and projects, and producing clear documentation

Preferred Qualifications , Capabilities, and

Skills:

Formal training or certification in…