Software Engineer III - Java with Agentic AI

JPMorgan Chase; Chicago (IL); On-site; USD 140,000 - 200,000; Full time

Job summary

JPMorganChase in Chicago is seeking a Software Engineer III to join an agile team and deliver market-leading technology products in a secure, scalable way. You will design and implement critical solutions across multiple technical areas to support the firm's business objectives.

You will build secure production code, lead the adoption of AI-assisted engineering practices, and collaborate with vendors and internal teams to ensure high-quality outcomes and robust architectures in a fast-paced

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Strong coding skills in Java, J2EE, and Spring Boot with production experience.
• Experience with AI-assisted development tools to improve code quality and delivery.
• Familiarity with CI/CD, AWS, and enterprise tooling for secure delivery.

Responsibilities

• Executes creative software solutions, design, development, and troubleshooting.
• Contributes to rollout of BDD and SDD practices across teams.
• Builds tooling deriving contract checks and mocks from OpenAPI/JSON specs.
• Develops secure, high-quality production code and reviews peers' work.
• Drives adoption of AI-assisted engineering practices for code quality and speed.
• Applies SDLC toolchain knowledge to improve automation value.
• Identifies opportunities to automate remediation for stability.
• Leads evaluation sessions with vendors and internal teams on architecture.

Skills

Core Java

J2EE

Spring Boot

AI-assisted coding

CI/CD

Cloud AWS

Tools

Bitbucket

Git

Jules

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