Lead Software Engineer - Java Full Stack, Python and 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 and 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

• Full stack delivery: Own features end-to-end from requirements and design through implementation, testing, deployment, and ongoing support.

• Front-end development: Build responsive, maintainable user interfaces with strong attention to usability, accessibility, and performance.

• Back-end development: Develop scalable services and APIs, including data access, business logic, and integration with upstream/downstream systems.

• Cloud & DevOps: Contribute hands-on to cloud infrastructure, CI/CD pipelines, automation, monitoring, and operational readiness.

• Quality & reliability: Apply best practices in testing, code review, observability, performance tuning, and incident readiness.

• Security & controls: Build with secure-by-design practices (access control, secrets management, auditability, responsible data handling).

• Technical leadership (IC): Influence architecture and standards, mentor engineers, and lead by example without formal people management.

• 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.

Required qualifications, capabilities, and skills

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

• Strong proficiency in Java, JavaScript, and Python, plus experience with other modern languages/frameworks as needed.

• Proven experience building both front-end applications and back-end services/APIs.

• Experience with cloud platforms and modern delivery practices (automation, CI/CD, monitoring/observability).

• Strong engineering discipline across testing, documentation, and maintainable design.

• Excellent communication skills and ability to operate effectively in ambiguous environments.

• 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

• Proficient in all aspects of the Software Development Life Cycle

• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security