Lead Software Engineer - Fullstack Lead

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

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 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.

Job 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

Required qualifications, capabilities, and skills:

• 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

  Preferred qualifications, capabilities, and skills:

• 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
• You'll join a small, high-ownership team building a next-generation AI-powered advisory platform that helps financial professionals work faster and smarter.
• This is full-stack, end-to-end work across a modern polyglot architecture: Java microservices, a Python AI agent, and a React frontend.

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

ABOUT THE TEAM

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.â

Our Asset and Wealth Management division is driven by innovators like you who are driven to create technology solutions that make us work more efficiently and help our businesses grow. It's our mission to efficiently take care of our clients' wealth, helping them get, and remain properly invested. Our team of agile technologists thrive in a cloud-native environment that values continuous learning using a data-centric approach in developing innovative technology solutions.