Lead Software Engineer, Python, Equity Derivatives Technology

Join us and take your software engineering career to new heights. Youll have the opportunity to design and deliver market-leading technology products that shape the future of financial services. At J.P. Morgan youll 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. Youll 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 outcomesfor critical Equity Derivatives workflows: monitoring incident triage stakeholder communication mitigation and root cause followthrough (including postincident actions and prevention).
• Execute software solutions includingdesign development testing release and technical troubleshootingto solve complex problems.
• 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 UAT planning and executionfor changes impacting pricing booking and risk: test strategy defect triage evidence collection and signoffs.
• Maintain strong release discipline: regression assessment rollback/fallback planning postdeployment verification and observability improvements.
• Gather and synthesize data/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.
• Provide ongoing support and enablement to stakeholders on new product features and workflows (runbooks training and documentation).
• Leverage firmapproved AI toolsto improve productivity in areas such as testing documentation and incident/ticket triage while adhering to data governance and control requirements.

Required qualifications capabilities and skills

• Bachelors degree in Computer Science Engineering or equivalent practical experience; formal training or certification in software engineering concepts is a plus.
• 8 years software engineering fundamentals with hands-on experience across the SDLC including system design development testing release and production support/operational stability.
• Proficiency inPython Java and JavaScript/TypeScript(React experience preferred) with a track record of building and supporting production-grade systems.
• Experience working in large-scale/enterprise environments developing debugging and maintaining code and data integrations using modern programming and database querying languages.
• Familiarity with common engineering frameworks and tooling such asJUnit Maven Spring Boot Spring Data JPA Spring Batch and Hibernate(or equivalent).
• Strong analytical thinking structured problem solving and debugging skills including the ability to troubleshoot complex issues under time pressure.
• Excellent communication and stakeholder management skills; comfortable partnering withTrading Sales Quantitative Research Operations Risk and Controls.
• Experience delivering in an Agile environment managing multiple priorities/projects and producing clear documentation (e.g. requirements runbooks release notes).
• Operational excellence mindset: incident leadership postmortems and continuous improvement in observability and production reliability.
• Knowledge ofequity derivativesproducts and workflows includingoptions pricing concepts(e.g. volatility Greeks) and an understanding of how system issues can impact quoting booking and hedging.