Lead Software Engineer - Full-Stack Java, React & AI

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 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:



* Own application components end-to-end across the SDLC, including architecture, build, test, deploy, observability, and production support.


* Partner with product, design, business, and engineering stakeholders to translate complex requirements into actionable technical plans.


* Design and deliver secure, resilient, high-performance services and user experiences for enterprise-scale managed-account platforms.


* Lead technical discovery, solution design, complexity estimation, and implementation for high-impact initiatives.


* Coach engineers via code reviews, pairing, technical stories, and pragmatic engineering standards.


* Drive adoption of enterprise-approved AI-assisted engineering practices to improve quality, speed, and operational outcomes.


* Apply appropriate architectural patterns (DDD, microservices, event-driven, cloud-native) where they add clear value.


* Use AI coding tools (e.g., Claude Code, GitHub Copilot) to accelerate understanding, delivery, testing, debugging, docs, and modernization.


* Create high-quality prompts and reusable guidance that provide AI agents with necessary business, architecture, and repo context.


* Validate all AI-generated changes (secure coding, peer review, automated testing), keep edits focused, protect sensitive data, and remain accountable for outcomes.


* Improve CI/CD, test automation, developer experience, and operational readiness by reducing manual effort and tightening feedback loops.

Required qualifications, capabilities, and skills:



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


* 10+ years of hands-on enterprise software engineering experience using Java, J2EE, REST APIs, Spring Boot, Hibernate or another ORM, microservices, and relational databases such as Oracle or Sybase.


* 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 engi...