Full Stack Lead Software Engineer

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. 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