When you mentor and advise multiple technical teams and move financial technologies forward, it’s a big challenge with big impact. You were made for this.

As a Senior Manager of Software Engineering at JPMorganChase within the Commercial & Investment Bank - Commodities Systematic Trading desk, you work side-by-side withTraders and Functional leadsto turn day-to-day desk processes into intuitive, reliable, front-office-grade applications. You will deliverfront-to-back workflow solutionsthat orchestrate the trade lifecycle— execution 1 booking 1 pricing 1 risk/P&L 1 reporting—partnering across theAthenaecosystem and related platforms to ensure workflows are integrated, controlled, and production ready.

Job responsibilities

• Build desk workflow applications that traders rely on:Partner closely with Trading and Functional leads (in person and remotely) to identify workflow pain points, design user journeys, define acceptance criteria, and deliver tooling that improves speed, clarity, and control for the desk.
• Own end-to-end delivery for workflow features:Drive features from concept to production across the SDLC—requirements, design, build, automated testing (unit/integration/contract), release, and ongoing support—ensuring high usability and operational robustness.
• Front-to-back integration through Athena and partner systems:Implement workflow orchestration acrossAthenaand partnering platforms (booking, pricing, positions, risk, P&L, reporting). Coordinate dependencies across multiple teams to land clean, aligned releases.
• Hands-on engineering with go sort it out ownership:Deliver high-quality software (Python preferred) and rapidly diagnose/resolve issues with minimal guidance—root cause, fix forward, and improvements to prevent recurrence.
• AI-enabled, spec-driven workflow engineering (day-to-day):Use AI to accelerate real delivery by converting desk requirements intoexecutable workflow specs(BDD-style scenarios),UI/API/event/data contracts, integration mappings, and automated tests—keeping documentation living, changes reviewable, and behavior traceable from requirement to release.
• Technical leadership on a global team:Mentor engineers, lead code/design reviews, raise engineering standards, and build strong partnerships across a globally distributed engineering organization.
• 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.
• Creates a culture of diversity, opportunity, inclusion, and respect for team members and prioritizes diverse representation

Required qualifications, capabilities, and skills

• Formal training or certification on Software Engineeringconcepts and 10+ years applied experience

• Strong fundamentals, system design, testing strategy, operability, secure coding, performance
• Experience leading teams of technologists
• Prior experience partnering withFront Office / Trading; able to operate effectively with rapid feedback loops and high ownership.
• Strong software engineering background in a Python-based stack.
• Strong communication skills; ability to influence and align with Trading/Functional leads and partner teamsin 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.
• Experience in Computer Science, Engineering, Mathematics, or a related field and expertise in technology disciplines

Preferred qualifications, capabilities, and skills

• Experience inCommodities Front Office Technology, ideally supporting systematic/quant desks and trader workflows.
• Experience acrossdeal booking, pricing, and risksystems such asSecDb, Quartz, Athena, RICE(or equivalent platforms).
• Track record deliveringfront-to-back workflow integrationsacross 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.