Lead Software Engineer - Full Stack, Java & React

Join a team where your engineering leadership directly impacts how we serve clients and drive innovation at scale. At JPMorganChase, you will have the opportunity to grow your career, build meaningful solutions, and collaborate with talented technologists who are passionate about delivering excellence.

As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank Technology organization, you will be a core technical contributor and leader on an agile team delivering secure, stable, and scalable technology products that support critical business and client outcomes. You will drive system design and engineering execution across backend and distributed systems and modern UI/console experiences, improving operational excellence through automation, strong software development lifecycle discipline, and responsible use of enterprise-authorized AI-assisted engineering tools.

Job responsibilities

• Design and deliver robust full-stack solutions using Java/Spring Boot and React/TypeScript, applying strong engineering judgment to meet non-functional requirements including security, resiliency, and performance

• Own end-to-end delivery of features across the software development lifecycle including requirements, design, coding, testing, deployment, and production support, with clear accountability for outcomes

• Build modern, containerized microservices and platform capabilities, including domain modeling, data design, and secure, high-quality production code while raising standards through code reviews, debugging, and refactoring

• Lead technical design and architecture discussions, partnering with stakeholders and aligning designs with relevant architecture standards and forums

• Develop backend services and APIs integrating with relational databases, search platforms, and enterprise systems

• Create and evolve operational UI/console experiences in React/TypeScript, partnering with engineering and product teams to deliver usable workflows

• Design and implement event-driven and streaming architectures using Kafka, including topic design, schema/contract strategy, and resilient producer/consumer patterns

• Contribute directly to operational stability and reliability by leading incident response and root cause analysis, reducing repeat incidents via preventative controls and automation, and enhancing observability

• 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