Full Stack Lead Software Engineer - Wilmington DE

On behalf of VetJobs and Military Spouse Jobs, thank you for your interest in this position. Attention Veterans, Transitioning Military, National Guard Members, Military Spouses and Caregivers of War Wounded: To apply for this position, please click on the submit button and follow the instructions. Job Identification 210749011 Job Category Software Engineering Business Unit Corporate Sector Posting Date 07/28/2026, 07:49 AM Locations 880 Powder Mill Rd, Wilmington, DE, 19803, US Job Schedule Full time Job Shift Day Base Pay/Salary Jersey City,NJ $152,000.00-$215,000.00 Job Description We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Full Stack Lead Software Engineer at JPMorgan Chase within the Corporate Technology Digital Document Management Team, 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 Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads 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 Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Adds to team culture of diversity, opportunity, inclusion, and respect 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.