Lead Software Engineer - Java Full stack, Agentic AI

Carry out critical tech solutions across multiple technical areas as an integral part of an agile team

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. Preferred qualifications, capabilities, and skills 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.