Lead Software Engineer - Full-Stack Java, React & AI

As a Lead Software Engineer at JPMorganChase within the 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., * Own application components end-to-end across the SDLC, including architecture, build, test, deploy, observability, and production support.

• Partner with product, design, business, and engineering stakeholders to translate complex requirements into actionable technical plans.
• Design and deliver secure, resilient, high-performance services and user experiences for enterprise-scale managed-account platforms.
• Lead technical discovery, solution design, complexity estimation, and implementation for high-impact initiatives.
• Coach engineers via code reviews, pairing, technical stories, and pragmatic engineering standards.
• Drive adoption of enterprise-approved AI-assisted engineering practices to improve quality, speed, and operational outcomes.
• Apply appropriate architectural patterns (DDD, microservices, event-driven, cloud-native) where they add clear value.
• Use AI coding tools (e.g., Claude Code, GitHub Copilot) to accelerate understanding, delivery, testing, debugging, docs, and modernization.
• Create high-quality prompts and reusable guidance that provide AI agents with necessary business, architecture, and repo context.
• Validate all AI-generated changes (secure coding, peer review, automated testing), keep edits focused, protect sensitive data, and remain accountable for outcomes.
• Improve CI/CD, test automation, developer experience, and operational readiness by reducing manual effort and tightening feedback loops.

• Formal training or certification on software engineering concepts and 5+ years applied experience
• 10+ years of hands-on enterprise software engineering experience using Java, J2EE, REST APIs, Spring Boot, Hibernate or another ORM, microservices, and relational databases such as Oracle or Sybase.
• 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
• Strong experience designing highly scalable, secure, resilient, and observable distributed systems.
• Deep understanding of object-oriented design, Domain-Driven Design, microservices patterns, client-server architecture, and modern cloud-native architectures.
• Strong test-driven development skills and practical experience with JUnit, Mockito, Cucumber, or comparable automation frameworks.
• Proficiency in SQL, complex queries, joins, stored procedures, views, indexes, and database change management; Liquibase experience is beneficial.
• Hands-on experience building CI/CD pipelines using Git, Maven, Jenkins, SonarQube, or equivalent tools.
• Experience with Agile software delivery and a track record of leading technical work in collaborative, cross-functional teams.
• Strong analytical and problem-solving skills, with excellent attention to detail and the ability to communicate complex ideas clearly.

Preferred qualifications, capabilities, and skills:

• Front-end development with React, Angular, TypeScript, JavaScript, HTML, and state-management libraries such as Redux.
• Event-driven processing with Kafka or a comparable messaging platform.
• Observability and monitoring with Dynatrace, Splunk, Grafana, AppDynamics, or similar technologies.
• Cloud Foundry or other public/private cloud platforms.
• Practical experience with Claude Code, GitHub Copilot, or similar AI coding assistants, including repository-level context, agentic workflows, automated test generation, code review, and documentation.
• Experience defining guardrails and validation practices for responsible AI-assisted development, including human review, secure data handling, focused changes, and measurable test coverage.
• Banking, wealth management, managed accounts, or broader financial-services domain knowledge.

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.

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.