Senior Java Engineer - AI-Driven, Secure & Scalable

JPMorgan Chase

Chicago (IL)

On-site

USD 140,000 - 200,000

Full time

5 days ago
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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

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

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