Lead Software Engineer- Java Front End UI React

As a Lead Software Engineer at JPMorgan

Chase within the CONSUMER & COMMUNITY BANKING team, 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.

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors

• Develops secure and high-quality production code, and reviews and debugs code written by others

• 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.

• Drives decisions that influence the product design, application functionality, and technical operations and processes

• Serves as a function-wide subject matter expert in one or more areas of focus

• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle

• Influences peers and project decision-makers to consider the use and application of leading-edge technologies

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

• Strong OOP/design patterns understanding and clean code practices

• Strong coding skills in Java and Springboot with solid fundamentals

• 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

• Proven, hands-on experience across system design, application development, testing, and production support

• Experience with low-latency/high-throughput systems

• Exposure to agentic AI