Lead Software Engineer - Fullstack Lead

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 Asset & Wealth Management, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities:


* Design and deliver features across the full stack - backend APIs, AI agent orchestration, and frontend UI


* Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.


* Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.


* Build and maintain LLM tool integrations, keeping service responsibilities clean and well-bounded


* Integrate with internal and third-party financial data services, translating domain data into LLM-usable context


* Review the architectural surface of every feature before it ships


* Collaborate closely with team members - participating in design discussions, sharing context, and communicating trade-offs clearly both in writing and in conversation


* Keep documentation and inline comments current - stale docs are treated as bugs


* Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills:


* Formal training or certification on software engineering concepts and 5+ years applied experience


* Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.


* Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices


* Java + Spring Boot - REST APIs, clean service boundaries, modern Java idioms


* Strong architecture instincts - ability to reason about service boundaries, separation of concerns, layering, and long-term maintainability


* TypeScri...