Python Lead Software Engineer - Rates Live Risk & P&L

• Build and enhance Python services and applications that power live Rates risk and P&L, with a strong focus on low latency and predictable performance.
• Partner directly with traders and risk managers to turn time-sensitive requirements into reliable, production-ready solutions.
• Own production services end to end, including releases, monitoring, incident response, and root-cause analysis.
• Troubleshoot issues across distributed components, data flows, and runtime environments, and drive fixes that reduce recurrence.
• Improve DevOps and operational readiness, including CI/CD, environment management, dependency management, and automation.
• Maintain strong engineering standards through code reviews, testing discipline, performance profiling, and clear documentation and runbooks.

Technologies:

• CI/CD
• DevOps
• Support
• Java
• Python
• UX UI Design

More:

We are J.P. Morgan, a global leader in financial services and a first-class business serving the worlds most prominent corporations, governments, wealthy individuals, and institutional investors. Our Commercial & Investment Bank is a global leader across banking, markets, securities services, and payments, operating in more than 100 countries. We offer a fast-moving, highly collaborative front-office engineering environment where correctness, resilience, and latency matter every day. We value diversity and inclusion, support reasonable accommodations, and are committed to building trusted long-term partnerships with our clients. This is a full-time role with a posting date of 2026-06-11.

• Strong Python development skills, including writing production-quality code with solid testing and packaging practices.
• Experience building and operating production services, including production support and incident-driven troubleshooting.
• Practical SDLC discipline across design, implementation, testing, deployment, and release management.
• Experience with CI/CD and observability, including monitoring, alerting, logs, and metrics, to keep services stable and measurable.
• Ability to work closely with front-office stakeholders and deliver effectively when priorities shift.
• Strong debugging skills and comfort navigating multi-component systems.
• Financial markets background, especially Rates trading, risk, or P&L concepts.
• Exposure to Deephaven, including installation and dependencies such as GKP, Java interoperability, and runtime operations.
• Low-latency and performance engineering experience, including profiling, concurrency, and latency measurement.
• Understanding of UI programming and interactive workflows used by traders.
• Strong DevOps mindset, including automation, environment consistency, and operational ownership.