Lead Software Engineer, Global Technology

As a Lead Software Engineer at JPMorganChase within Global Technology you will lead and mentor an agile team to architect design and deliver trusted market-leading technology products in a secure stable and scalable this role on the Rates Live Risk & PnL team you will build and operate low-latency high-availability Python applications used directly by Rates trading desks for intraday risk PnL and decision support in a fast-paced front-office environment.

The Rates Live Risk & PnL team delivers real-time trading risk and profit & loss capabilities partnering closely with traders and desk strategists. You will own critical components across the stackfrom data ingestion and calculation services to UI and operational toolingensuring performance correctness and resiliency under tight timelines and high business impact.

Job Responsibilities

• Lead the design and development ofPython-based live risk and PnL applications driving continual iterative improvements across product teams
• Partner directly withRates traders and stakeholdersto translate business needs into reliable low-latency technical solutions
• Drive decisions on software solutions architecture design development and technical troubleshooting with a focus on strategic direction and production excellence
• Design and implementsecure high-quality production code with a strong focus on correctness performance and operational stability
• Own architecture and design artifacts for complex real-time systems ensuring non-functional requirements (latency throughput availability) are met
• Build and improvemonitoring alerting and operational runbooks and participate in production support/incident management as needed
• Collaborate with DevOps and platform partners to improveCI/CD deployment automation and environment reliability
• Mentor and coach junior and mid-level engineers through code reviews technical guidance and best-practice standards
• Identify systemic issues (technical debt performance bottlenecks data quality gaps) and drive remediation aligned to long-term platform goals
• Influence and shape a team culture of diversity opportunity inclusion and respect
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality delivery speed and operational outcomes (e.g. AI-assisted code review/refactoring test strategy acceleration incident/root-cause analysis support) while establishing consistent validation standards (secure coding peer review automated testing) and promoting reuse of effective patterns across the team.

• Applies knowledge of tools within the Software Development Life Cycle toolchain including enterprise-authorized AI-assisted development and automation capabilities to improve the value realized by automation.

Required qualifications capabilities and skills

• Hands-on experience in system design application development testing and operational stability with a track record of leading complex technical initiatives
• Advanced proficiency in Python including building production services and performance-sensitive applications
• Strong understanding of real-time/distributed system concepts (e.g. concurrency messaging/streaming patterns caching failure modes)
• Experience delivering software in a large corporate environment with strong engineering standards (testing code quality security SDLC)
• Practical experience withCI/CD application resiliency and secure engineering including production monitoring and incident response
• Proven ability to lead technical design discussions mentor engineers and partner effectively with business stakeholders
• Strong problem-solving skills and ability tolearn quicklyand deliver high-quality outcomes under time pressure
• Strong understanding of responsible AI use in engineering workflows including data sensitivity considerations secure handling of inputs/outputs and adherence to resiliency and security expectations; experience coaching engineers on safe compliant adoption within delivery practices

• Demonstrated experience leading effective use of 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.

Preferred qualifications capabilities and skills

• Financial markets background(Rates products risk PnL market data trade lifecycle)
• Exposure toDeephaven(or similar real-time analytics/UI platforms) and its ecosystem includinginstallation/runtime dependencies (e.g. Java)and related operational considerations
• Experience withDevOps practicesfor low-latency services (deployments observability capacity/performance testing environment management)
• Understanding ofUI programming(web or desktop) and collaborating across UI/backend boundaries to deliver trader-facing workflows
• Familiarity with Java and/or mixed-language environments where Python services interact with JVM-based components
• Experience with event-driven architectures and high-performance data pipelines used in front-office systems