Software Engineer III - Java with Agentic AI

J.P. Morgan Chase & Co.; Chicago (IL); On-site; USD 110,000 - 165,000; Full time

Job summary

JPMorganChase in Chicago seeks an experienced Software Engineer III to design and deliver secure, scalable software across multiple domains. You will contribute to AI-assisted engineering practices, drive automation, and support reliable production systems within Consumer & Community Banking.

The role emphasizes strong Java/J2EE, Spring Boot, and SDLC expertise, plus hands-on experience with AI-assisted tooling, CI/CD, and modern data stacks. This is a full‑time on‑site position in Chicago.

Qualifications

• Formal training or certification in software engineering concepts and 5+ years of experience.
• Experience using AI-assisted tools to design, implement, test, and debug production code.
• Strong understanding of SDLC, Agile practices, and secure coding.

Responsibilities

• Develop secure, high‑quality production code and review peers’ work.
• Contribute to BDD/SDD practices across product and engineering teams.
• Create tooling that derives checks and mocks from OpenAPI/Swagger specs.
• Lead architectural discussions with vendors and internal teams.
• Promote AI-assisted development practices and ensure safe outputs.
• Improve automation and operational stability across software applications.
• Advocate Communities of Practice to share new technologies.

Skills

Core Java

J2EE

Spring Boot

AI-assisted coding

CI/CD

AWS EKS

Bedrock

Kafka

Oracle

Cassandra

Secure coding

Code reviews

Education

Bachelor's degree in Computer Science or related field

Tools

Bitbucket

Git

Jules

Cloud

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within the Consumer & Community Banking, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out 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 breakdown technical problems
• Contributes the rollout of BDD and SDD practices across product and engineering teams
• Build SDD tooling that derives contract checks, mocks, and validation from machine-readable specs (OpenAPI/Swagger, JSON Schema, AsyncAPI for Kafka) as the source of truth.
• Develops secure and 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Proficient in Core Java, J2EE, and Spring Boot with strong coding skills.
• Strong software engineer with hands-on experience using AI coding assistants/agents to design, implement, test, and debug production code
• Experienced in defining test scenarios and automating unit and integration tests.
• Experienced in build and deployment processes using Bitbucket, Git, Jules and CLOUD.
• Knowledgeable in EKS, Kafka, and message parsers, Proficient with Oracle and Cassandra databases.
• 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
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Experience using AWS - EKS and Bedrock
• AI-Agentic approach in automation