Senior Full-Stack Engineer (Java/Python/React) – AI-Driven & Secure

JPMorgan Chase Bank, N.A.

Jersey City (NJ)

On-site

USD 138,000 - 185,000

Full time

10 days ago
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Benefits offered by this job

Health care
Retirement plan
Equity compensation
Bonuses

Job summary

JPMorganChase in Jersey City, NJ is seeking a Software Engineer III to join a feature team focused on secure, scalable technology products across multiple business functions.

You will design, develop, and troubleshoot complex solutions, write secure production code, and leverage enterprise AI coding tools, while maintaining high-quality standards and contributing to architecture and data-driven improvements.

Qualifications

  • Formal training or certification in software engineering with 3+ years of hands-on experience.
  • Experience in system design, application development, testing, and operational stability.
  • Experience coding in Java and Python and querying databases.
  • Experience with React and modern development practices.
  • Experience with AI-assisted development tools and secure coding practices.
  • Understanding of Agile methodologies, CI/CD, and application resiliency.

Responsibilities

  • Executes software solutions, design, development, and troubleshooting beyond routine approaches.
  • Creates secure, high-quality production code and maintains scalable algorithms.
  • Leverages enterprise AI coding assist tools to improve code quality and speed, with peer review.
  • Applies SDLC tools and AI-assisted development to enhance automation value.
  • Produces architecture and design artifacts and ensures design constraints are met.
  • Gathers and analyzes data to drive software improvements.

Skills

Java
Python
React
CI/CD
Agile
Secure coding

Tools

AI-assisted dev tools

Job description

JPMorganChase in Jersey City, NJ is seeking a Software Engineer III to join a feature team focused on secure, scalable technology products across multiple business functions.

You will design, develop, and troubleshoot complex solutions, write secure production code, and leverage enterprise AI coding tools, while maintaining high-quality standards and contributing to architecture and data-driven improvements.

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