Lead Software Engineer - Financial Markets

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 way. In 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 stack-from data ingestion and calculation services to UI and operational tooling-ensuring performance, correctness, and resiliency under tight timelines and high business impact.

Job Responsibilities

• Lead the design and development of Python-based live risk and PnL applications, driving continual, iterative improvements across product teams
• Partner directly with Rates traders and stakeholders to 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 implement secure, 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 improve monitoring, alerting, and operational runbooks, and participate in production support/incident management as needed
• Collaborate with DevOps and platform partners to improve CI/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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience in coding Java or Python, including building production services and performance-sensitive applications
• Financial markets background (Rates products, risk, PnL, market data, trade lifecycle)
• Hands-on experience in system design, application development, testing, and operational stability with a track record of leading complex technical initiatives
• 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 with CI/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 to learn quickly and deliver high-quality outcomes under time pressure

Preferred qualifications, capabilities, and skills

• Exposure to Deephaven (or similar real-time analytics/UI platforms) and its ecosystem, including installation/runtime dependencies (e.g., Java) and related operational considerations
• Experience with DevOps practices for low-latency services (deployments, observability, capacity/performance testing, environment management)
• Understanding of UI 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