Sr Manager of Software Engineering Front Office developer

When you mentor and advise multiple technical teams and move financial technologies forward its 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 booking pricing risk/P&L reportingpartnering 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 SDLCrequirements design build automated testing (unit/integration/contract) release and ongoing supportensuring 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 guidanceroot 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 testskeeping 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.