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 whats possible.

As a Lead Software Engineer at JPMorganChase within the Global Banking Technology youare 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 firms 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 deliveryleveraging 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.