Lead Software Engineer Python Backend, AWS

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Banks Credit Technology team you will join an agile engineering team building real-time and end-of-day Risk & PnL platforms for Bonds Loans Credit Derivatives Exotics products etc. You will design and deliver secure resilient low-latency and scalable services that power front-office risk trading and management reporting workflows. You will be part of technical delivery across multiple components drive engineering standards and partner closely with quant trading risk and production management teams.

Job responsibilities

• Build real-time Risk/PnL systems supporting Loans Credit Derivatives Exotics products etc (e.g. intraday Greeks/sensitivities VaR inputs explain/attribution scenario and stress runs).
• Design and deliver low-latency high-throughput services that publish risk and PnL to front-office consumers with clear SLAs observability and operational readiness.
• Develop distributed microservices and event-driven pipelines that consume market data trades and reference data; produce risk measures; and serve APIs/UI consumers.
• Own technical design and implementation with awareness of upstream/downstream dependencies data contracts schema evolution and failure modes.
• Apply strong engineering rigor: test strategy performance profiling capacity planning resiliency patterns and secure coding.
• Drive production excellence: incident triage root cause analysis runbooks automated recovery and measurable reliability improvements.
• Collaborate with stakeholders to translate business needs into clear technical requirements and deliver iteratively.
• Mentor engineers contribute to code reviews raise the bar on architecture and craftsmanship and foster an inclusive team culture.

Required qualifications capabilities and skills

• Formal training or certification on software engineering concepts and 5 years applied experience

• Extensive hands-on experience delivering Python services in production (design development testing troubleshooting and operational support).
• Strong knowledge of data structures algorithms concurrency and software design principles; able to lead design discussions and document architecture.
• Experience across the full SDLC: CI/CD testing automation release management and production support.
• Strong SQL skills and experience with relational databases; ability to design schemas and write performant queries.
• Proven ability to build secure stable maintainable systems in a large enterprise environment (controls auditability SDLC governance).
• Experience building real-time systems: messaging streaming caching and low-latency APIs.
• Proficiency with profiling and performance tuning (CPU/memory/IO) and designing for throughput backpressure and graceful degradation.