Software Engineer III - Java with Agentic AI

JPMorgan Chase & Co.•Chicago, IL
•$114,000 - $155,000

About The Position

As a Software Engineer III at JPMorganChase within Consumer & Community Banking, you serve as a seasoned member of an agile team, designing and delivering trusted, market-leading technology products securely, reliably, and at scale. You carry out critical technology solutions across multiple technical areas and business functions in support of the firm’s business objectives. The role involves developing production-quality software and advancing Behavior-Driven Development (BDD), Specification-Driven Development (SDD), and AI-assisted engineering practices across product and engineering teams. You will build tooling that derives contract checks, mocks, and validation from machine-readable specifications, and promote responsible, secure, and effective use of approved AI capabilities. You will also help improve application stability, lead technical evaluations, and foster adoption of emerging technologies through engineering communities of practice.

Requirements

  • Formal training or certification in software engineering concepts and at least 5 years of applied experience.
  • Proficiency in Core Java, J2EE, and Spring Boot, with strong coding skills.
  • Hands-on experience using AI coding assistants or agents to design, implement, test, and debug production code.
  • Experience defining test scenarios and automating unit and integration tests.
  • Experience with build and deployment processes using Bitbucket, Git, Jules, and CLOUD.
  • Knowledge of EKS, Kafka, and message parsers; proficiency with Oracle and Cassandra databases.
  • Demonstrated experience leading effective use of approved AI-assisted software development tools for coding, code review, test acceleration, or troubleshooting, and setting expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption.
  • Proficiency in all aspects of the Software Development Life Cycle.
  • Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security.

Nice To Haves

  • Experience using AWS, including EKS and Bedrock.
  • An AI-agentic approach to automation.

Responsibilities

  • Design, develop, and troubleshoot creative software solutions, including breaking down technical problems using approaches beyond routine methods.
  • Contribute to rolling out BDD and SDD practices across product and engineering teams.
  • Build SDD tooling that derives contract checks, mocks, and validation from machine-readable specifications, including OpenAPI/Swagger, JSON Schema, and AsyncAPI for Kafka.
  • Develop secure, high-quality production code and review and debug code written by others.
  • Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
  • Establish consistent standards for validating AI-assisted work, including secure coding, peer review, and automated testing, and promote reuse of effective patterns.
  • Use Software Development Life Cycle tools, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value of automation.
  • Identify opportunities to eliminate recurring issues or automate their remediation to improve operational stability of software applications and systems.
  • Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and suitability for existing systems and information architecture.
  • Lead Software Engineering communities of practice to increase awareness and use of new and leading-edge technologies.

Benefits

  • Comprehensive health care coverage
  • On-site health and wellness centers
  • Retirement savings plan
  • Backup childcare
  • Tuition reimbursement
  • Mental health support
  • Financial coaching
  • Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity
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