Lead Software Engineer - Financial Markets

JPMorgan Chase & Co.; City of Rochester (NY); Hybrid; USD 180,000 - 230,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer within Global Technology to mentor an agile team tasked with architecting and delivering trusted, scalable technology products.

You will own critical components for real-time risk, PnL, and decision support used by Rates trading desks in a fast-paced front-office environment. You will lead design discussions, drive production-grade code, and collaborate across DevOps and platform teams to ensure reliability and performance under tight

Qualifications

• 5+ years of hands-on coding in Java or Python, including production services.
• Experience with real-time risk/PNL or trading systems is a plus.
• Ability to lead complex technical initiatives and mentor engineers.

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 production excellence
• Design and implement secure, high-quality production code, with focus on correctness, performance, and stability
• Own architecture and design artifacts for complex, real-time systems ensuring latency, throughput, availability requirements
• Build and improve monitoring, alerting, and runbooks; participate in production support/incident management
• Collaborate with DevOps and platform partners to improve CI/CD and deployment reliability
• Mentor and coach junior and mid-level engineers through code reviews and best-practice standards
• Identify systemic issues and drive remediation aligned to long-term platform goals
• Influence team culture of diversity, opportunity, inclusion, and respect

Skills

Java

Python

Real-time systems

Distributed architecture

Mentoring

Tools

CI/CD pipelines

Monitoring

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