Lead Software Engineer - Data / Java / Python

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 Finance Technology, 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

• Execute creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems

• Develop secure high-quality production code, and review and debug code written by others

• Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems

• Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

• Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

• Add to team culture of diversity, opportunity, inclusion, and respect

• Drive 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

• Apply 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 advanced applied experience

Strong software engineering fundamentals — system design, data structures, algorithms, and architectural thinking — with the ability to ramp up quickly across varied tech stacks and project types

• Hands-on practical experience in full-stack or cross-functional development, spanning frontend, backend, data pipelines, or mobile, with demonstrated ability to contribute across the length and breadth of a project

• Proficiency in one or more of the following: Java/Spring Boot, Python/PySpark, GraphQL, or mobile development frameworks, with openness and aptitude to work across others as needed