As a Lead Software Engineer at JPMorganChase 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. Job responsibilities • 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 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 • Significant commercial experience developing UI’s with hands-on applied experience developing in React • Hands-on practical experience delivering system design, application development, testing, and operational stability • Advanced in one or more programming language(s) • Proficiency in automation and continuous delivery methods • Proficient in all aspects of the Software Development Life Cycle • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security • In-depth knowledge of the financial services industry and their IT systems • Practical cloud native experience • Highly competent at React with TypeScript, with a strong engineering-first mindset, an ability to solve complex problems elegantly with an emphasis on scalability and performance. • Experience in developing, debugging and automated testing (e.g. react testing library / cypress) within a commercial setting • Experience collaborating with backend technology teams in designing scalable and reusable RESTful APIs Preferred qualifications, capabilities, and skills • Exposure to agentic AI