Lead Software Engineer - Java Full stack, Agentic AI

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 the Global Banking Technology, 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
• 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.
• 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience leading designing and building solutions .

• Expertise in Java, Spring Core, Spring Boot, REST APIs, JPA  and relevant microservices framework.
• Expertise in JavaScript, Typescript, React and popular test framework for UI

• Expert-level experience with AI-assisted/agentic development tools (e.g., GitHub Copilot and Claude Code) to accelerate full-stack delivery—leveraging AI for scaffolding, refactoring, debugging, documentation, code review, and test generation (unit/integration/E2E incl. Playwright), while enforcing secure usage (no secrets, security/license checks, SDLC compliance) and using agentic workflows (plan → build → test → validate) with strong human oversight.

• Experience practicing Spec-Driven Development: translating business requirements into clear functional/non-functional specs (API contracts, UI acceptance criteria, test cases), and driving implementation from those specs 
• 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
• Familiarity with log/metric collection and monitoring technologies like Grafana, AppDynamics, and Splunk, Hands-on experience with building CI/CD pipelines using Git, Maven, Jenkins, SonarQube, and Fortify.
• Experience with relational databases such as PostgreSQL and Oracle (including schema design, performance tuning, and SQL optimization).

• Experience with event-driven processing using Kafka, Proficiency in Object-Oriented Design (OOD) and Test Driven Development (TTD), with hands-on experience in test automation frameworks like Junit, Mockito, Playwright and Cucumber.

• Agile software development experience adhering to a product operating model.
• Experience in building enterprise solution focused on Data Analytics will be beneficial.
• Experience in AI agentic application development, leveraging GitHub Copilot/Copilot agents to accelerate delivery while maintaining strong human oversight and SDLC compliance.
• Experience practicing Spec-Driven Development using GitHub Copilot, translating requirements into clear specs (API contracts, UI acceptance criteria, test cases) and driving implementation from those specs.