Lead Software Engineer - Python, Trading

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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.
Job responsibilities
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.
Strong communication skills; ability to influence and align with Trading/Functional leads and partner teams in person and remotely.
Demonstrated ownership mindset: independently taking ambiguous problems, investigating, driving decisions, and delivering production outcomes.
Proven technical leadership (mentoring, design/code reviews, raising team standards).
Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways of working (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and control expectations; ability to coach managers/leads and influence leaders on safe scaling patterns.
Preferred qualifications, capabilities, and skills
Experience in Commodities Front Office Technology, ideally supporting systematic/quant desks and trader workflows.
Experience across deal booking, pricing, and risk systems such as SecDb, Quartz, Athena, RICE (or equivalent platforms).
Track record delivering front-to-back workflow integrations across execution, booking, pricing, positions, risk, P&L, and reporting in a multi-team environment.
Strong UI/tooling experience (e.g., React/TypeScript and/or similar) and test automation for workflow-critical systems.
Experience operating production services with strong observability, incident management, and continuous improvement.