Lead Software Engineer - Python, Trading

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank - Commodities Systematic Trading desk, you work side-by-side with Traders and Functional leads to turn day-to-day desk processes into intuitive, reliable, front-office-grade applications. You will deliver front-to-back workflow solutions that orchestrate the trade lifecycle— execution → booking → pricing → risk/P&L → reporting—partnering across the Athena ecosystem and related platforms to ensure workflows are integrated, controlled, and production ready.

Acts as the primary technology leader in India for X Commodities Workflows, owning delivery commitments, prioritization, and execution plans in partnership with global desk/product stakeholders. Partners with Sales/Trading and Functional leads to identify workflow pain points, define user journeys and acceptance criteria, and deliver solutions that improve speed, clarity, and controls. Drives features from concept to production across the SDLC—requirements, design, build, automated testing (unit/integration/contract), release, and ongoing support. Ensures solutions meet front-office expectations for usability, resilience, performance, auditability, and operational robustness . Leads implementation of workflow orchestration across core ecosystems and partner platforms (booking, pricing, positions, risk, P&L, reporting), ensuring strong contract discipline (API/event/data) and integration alignment. Coordinates dependencies across multiple global teams to deliver clean releases , manage cutovers, and reduce integration risk. Stay hands-on where needed: design reviews, critical-path coding, debugging production issues, and leading incident resolution with strong root-cause discipline. Drives engineering standards: code quality, secure coding, test strategy, CI/CD hygiene, and observability. Uses AI tooling to accelerate delivery by converting desk requirements into executable workflow specs (e.g., BDD-style scenarios), UI/API/event/data contracts, integration mappings, and automated tests. Keeps documentation living and traceable from requirement to release, enabling faster change with lower operational risk. Builds and mentor a high-performing India team: coaching, hiring, performance management, and career development. Establishes strong operating rhythms across time zones (planning, execution tracking, release readiness, on-call/support readiness). Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations (e.g., throughput, defect reduction, reliability) and ensures consistent validation, security, resiliency, and reuse of proven patterns. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets . Required qualifications, capabilities, and skills Formal training or certification on Software Engineering concepts and 10+ years applied experience Strong delivery leadership: ability to run multi-stream execution, manage dependencies, and drive outcomes across distributed teams. Python required, otherwise strong engineering background with ability to ramp quickly in a Python-based stack. Strong communication and stakeholder management skills across geographies and seniority levels. Proven ownership mindset: independently taking ambiguous problems, investigating, driving decisions, and delivering production outcomes Prior experience partnering with Front Office / Trading; able to operate effectively with rapid feedback loops and high ownership.