Full Stack Lead Software Engineer Wilmington DE

Job Identification

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 CityNJ $152000.00-$215000.00
Job Description
We have an opportunity to impact your career and provide an adventure where you can push the limits of whats 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 firms 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.

Additional Qualifications/Responsibilities
Required qualifications capabilities and skills

Formal training or certification on software engineering concepts and 5 years applied experience
Leading development effort developers and providing full end to end solutions
Experience with ReactJS/AngularJS or similar UI technologies
Hands-on practical experience delivering system design application development testing and operational stability
Advanced in one or more programming language(s) - Java/J2EE Python
Hands on experience AI based tools Open AI Claude Gemini Copilot etc
Proficiency in automation and continuous delivery methods e.g. Jenkins
Hands on with relational databases e.g. Oracle or PostGreSQL & No-SQL DBs - MongoDB
Demonstrated proficiency in software development using cloud (AWS Kubernetes or Azure)
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

Preferred qualifications capabilities and skills

Experience in financial services especially investment banking or credit risk operations
Expertise in agentic AI frameworks prompt optimization and fine-tuning SLMs
Familiarity with distributed computing data sharing and DDP training
Experience in design/code reviews and mentoring teams
A thinker of good architecture design resiliency and stability in the software