Lead Software Engineer - Full Stack

JPMorganChase • Jersey City, NJ

1d

About The Position

As a Lead Software Engineer on JPMorganChase’s Corporate Sector Global Real Estate Technology team, you will contribute to an agile team building and enhancing secure, stable, scalable technology products. You will deliver critical technology solutions across technical areas in support of the firm’s business objectives. The role combines full-stack software engineering with technical leadership, operational stability, secure development, and responsible adoption of enterprise-authorized AI-assisted engineering practices.

Requirements

• Formal training or certification in software engineering concepts and at least 5 years of applied experience.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Advanced ability in one or more programming languages, including Java and React.js.
• Hands-on experience with Spring Boot and React.js.
• Experience leading effective use of approved AI-assisted software development tools for activities such as coding, code review, test acceleration, and troubleshooting.
• 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, secure handling of inputs and outputs, and adherence to resiliency and security expectations.
• Experience coaching engineers on safe, compliant adoption of AI-assisted tools in delivery practices.
• Proficiency in all aspects of the Software Development Life Cycle.
• Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security.
• In-depth knowledge of the financial services industry and its IT systems.
• Practical cloud-native experience.

Nice To Haves

• Experience in the financial services or banking industry.

Responsibilities

• Design, develop, and troubleshoot software solutions, applying creative approaches to technical problems.
• Develop secure, high-quality production code and review and debug code written by others.
• Lead team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
• Establish consistent validation standards for AI-assisted work, including secure coding, peer review, and automated testing, and promote reuse of effective patterns.
• Apply Software Development Life Cycle tools, including authorized AI-assisted development and automation capabilities, to improve the value of automation.
• Identify opportunities to eliminate or automate recurring issues and improve application and system operational stability.
• Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and applicability to existing systems and information architecture.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed