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Lead Software Engineer - Java Full stack, Agentic AI

Job in Houston, Harris County, Texas, 77246, USA
Listing for: JPMorgan Chase & Co.
Full Time, Seasonal/Temporary position
Listed on 2026-10-03
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Engineer, Full Stack Developer, Java Developer
Salary/Wage Range or Industry Benchmark: 150000 - 205000 USD Yearly USD 150000.00 205000.00 YEAR
Job Description & How to Apply Below
Lead Software Engineer - Java Full stack, Agentic AI

Houston, TX, United States

Job Information
  • Job Identification
  • Job Category Software Engineering
  • Business Unit Commercial & Investment Bank
  • Posting Date 10/01/2026, 12:07 AM
  • Locations 600 Travis St, Houston, TX, 77002, US
  • Job Schedule Full time
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 JPMorgan

Chase 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 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.

Expert-level experience with AI-assisted/agentic development tools (e.g., Git Hub 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,…
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