Lead Software Engineer - Multiple Teams

Join a dynamic team where your expertise shapes technology products and accelerates your career growth. Make a meaningful impact by advancing engineering excellence.

As a Lead Software Engineer at JPMorgan Chase within the Chief technology office team, you will play a pivotal role in enhancing, building, and delivering trusted technology products in a secure, stable, and scalable environment. You will drive business impact through your technical capabilities and problem-solving skills, tackling diverse challenges across multiple technologies and applications. Our inclusive team values collaboration, innovation, and continuous improvement, empowering you to contribute and grow with us.

Job responsibilities

• Lead the design, development, and evolution of a highly scalable CI/CD Platform.
• Develop secure and high-quality production code, and review and debug code.
• 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.
• Drive decisions that influence product design, application functionality, and technical operations and processes.
• Serve as a subject matter expert in one or more areas of focus.
• Actively contribute to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle.

Required qualifications, capabilities and skills

• Formal training or certification on software engineering concepts and 8+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in Java, Python, or Go programming languages
• 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
• Ability to tackle design and functionality problems independently with little to no oversight
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Practical cloud native experience

Preferred qualifications, capabilities and skills

• Platform Engineering experience