Lead Software Engineer

Lead Software EngineerAs 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 ResponsibilitiesLead the design and development of Python-based live risk and PnL applications, driving continual, iterative improvements across product teamsPartner directly with Rates traders and stakeholders to translate business needs into reliable, low-latency technical solutionsDrive decisions on software solutions, architecture, design, development, and technical troubleshooting with a focus on strategic direction and production excellenceDesign and implement secure, high-quality production code, with a strong focus on correctness, performance, and operational stabilityOwn architecture and design artifacts for complex, real-time systems, ensuring non-functional requirements (latency, throughput, availability) are metBuild and improve monitoring, alerting, and operational runbooks, and participate in production support/incident management as neededCollaborate with DevOps and platform partners to improve CI/CD, deployment automation, and environment reliabilityMentor and coach junior and mid-level engineers through code reviews, technical guidance, and best-practice standardsIdentify systemic issues (technical debt, performance bottlenecks, data quality gaps) and drive remediation aligned to long-term platform goalsInfluence and shape a team culture of diversity, opportunity, inclusion, and respectRequired Qualifications, Capabilities, and SkillsFormal training or certification on software engineering concepts and 5+ years applied experience in coding Java or Python, including building production services and performance-sensitive applicationsFinancial 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 initiativesStrong 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 responseProven ability to lead technical design discussions, mentor engineers, and partner effectively with business stakeholdersStrong problem-solving skills and ability to learn quickly and deliver high-quality outcomes under time pressurePreferred Qualifications, Capabilities, and SkillsExposure to Deephaven (or similar real-time analytics/UI platforms) and its ecosystem, including installation/runtime dependencies (e.g., Java) and related operational considerationsExperience 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 workflowsFamiliarity with Java and/or mixed-language environments where Python services interact with JVM-based componentsExperience with event-driven architectures and high-performance data pipelines used in front-office systems