Lead Software Engineer - Fullstack Lead

JPMorganChase • Plano, TX

6d

About The Position

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within Asset & Wealth Management, 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.

Requirements

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Java + Spring Boot — REST APIs, clean service boundaries, modern Java idioms
• Strong architecture instincts — ability to reason about service boundaries, separation of concerns, layering, and long-term maintainability
• TypeScript + React — strict TypeScript, state management, real component design
• AI/LLM integration — hands-on experience with agentic systems: tool calling, structured output, context management, prompt design
• Distributed systems fundamentals — WebSocket, SSE, REST; able to debug across multiple services
• Clear communicator — comfortable discussing technical decisions with teammates, asking the right questions, and aligning on approach before diving into implementation

Nice To Haves

• Background in financial services, fintech, or wealth management — familiarity with investment products, portfolio concepts, or client data workflows is a plus
• Familiarity with MCP (Model Context Protocol) or similar LLM tool-integration patterns
• Experience with LangGraph or other graph-based agent frameworks (LangChain, AutoGen) is a plus
• Comfort operating at prototype pace — patterns still crystallizing, right abstraction not always obvious, expected to ask before guessing

Responsibilities

• Design and deliver features across the full stack — backend APIs, AI agent orchestration, and frontend UI
• Build and maintain LLM tool integrations, keeping service responsibilities clean and well-bounded
• Integrate with internal and third-party financial data services, translating domain data into LLM-usable context
• Review the architectural surface of every feature before it ships
• Collaborate closely with team members — participating in design discussions, sharing context, and communicating trade-offs clearly both in writing and in conversation
• Keep documentation and inline comments current — stale docs are treated as bugs
• Adds to team culture of diversity, opportunity, inclusion, and respect

What This Job Offers

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