Lead Software Engineer - Financial Markets

JPMorgan Chase & Co.; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorganChase is seeking a Lead Software Engineer in Global Technology to guide an agile team in designing and delivering trusted, market-leading tech products. You will own low-latency Python applications used by Rates trading desks for intraday risk, PnL, and decision support in a fast-paced, front-office environment.

You will lead architecture decisions across data ingestion, calculation services, UI, and tooling, ensuring performance, correctness and resiliency under tight timelines and high

Qualifications

• Formal training or certification in software engineering with 5+ years coding Java or Python.
• Experience building production services and performance-sensitive apps.
• Background in financial markets (Rates, risk, PnL, market data).

Responsibilities

• Lead design and development of Python-based live risk and PnL applications.
• Partner with Rates traders to translate business needs into low-latency solutions.
• Drive decisions on architecture, design, development, and incident response.
• Design secure, high-quality production code with emphasis on performance.
• Own architecture artifacts for real-time systems meeting latency targets.
• Build monitoring and runbooks; participate in production support and incidents.
• Collaborate with DevOps to improve CI/CD and environment reliability.
• Mentor junior engineers through code reviews and guidance.
• Identify systemic issues and drive remediation aligned to platform goals.
• Influence team culture of diversity, opportunity, inclusion, and respect.

Skills

Java

Python

System design

Production services

Real-time systems

DevOps

CI/CD

Mentoring

Job description

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 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

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 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

Preferred qualifications, capabilities, and skills

• 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