Lead Software Engineer - Java

Are you ready to make a meaningful impact at one of the world's most innovative financial institutions?

At JPMorganChase, we combine cutting-edge technology with a culture of collaboration and continuous learning — empowering you to grow your career while solving real-world challenges at scale.

As a Lead Software Engineer at JPMorganChase within the Reference Data Engineering team, you are a technical leader and a key contributor on an agile team, designing and delivering trusted market-leading technology products in a secure, stable, and scalable way.

You are responsible for driving critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

In this role, you will have the opportunity to deepen your technical expertise, mentor fellow engineers, and contribute to systems that power global financial markets.

Job responsibilities

• Lead the design and delivery of secure, high-quality software solutions, thinking beyond conventional approaches to solve complex technical problems at scale
• Create and maintain secure, high-quality production code and algorithms that run synchronously with appropriate systems Produce architecture and design artifacts for complex applications while ensuring design constraints are met throughout the software development process
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture
• Write secure and high-quality code in Java, Angular, RESTful APIs, and SOAP, applying knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
• Apply advanced technical troubleshooting to break down and resolve complex technical problems, applying system processes, methodologies, and skills for the development of secure, stable code and systems
• Mentor and guide junior engineers, fostering a culture of technical excellence, collaboration, and continuous improvement
• 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