Software Engineer Program - Launch Your Tech Career

JPMorgan Chase & Co.

Chicago (IL)

On-site

USD 90,000 - 120,000

Full time

14 days+
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Job summary

JPMorgan Chase & Co. offers an Early Careers Software Engineer program in the U.S., designed to develop technical foundations through structured learning, mentorship, and hands-on project work.

You will design, develop, test, and troubleshoot software while collaborating with experienced engineers, leveraging AI tools responsibly, and pursuing meaningful technology outcomes across teams.

Qualifications

  • Pursuing a Bachelor’s or 5th-year Master’s in CS/IT/Data Science or related field.
  • Graduation between July 2026 and December 2026; available to start full-time February 2027.
  • Experience designing, developing, testing, and troubleshooting software in an engineering team.
  • Proficient in at least one programming language with secure coding practices.
  • Apply automation and modern tooling to improve SDLC efficiency.
  • Ability to critically evaluate AI-generated outputs and ensure solution quality.

Responsibilities

  • Design, develop, test, and troubleshoot software solutions.
  • Communicate clearly in writing and verbally about problems and solutions.
  • Collaborate with engineers, managers, and stakeholders to deliver reliable solutions.
  • Leverage approved AI development tools to improve code quality and productivity.
  • Apply automation across the SDLC, including AI-enabled capabilities.
  • Participate in programs like Force for Good to support social impact initiatives.

Skills

Programming
Software design
Testing
Security coding
Communication

Education

Bachelor’s degree
5th-year Master’s degree

Tools

AI development tools

Job description

JPMorgan Chase & Co. offers an Early Careers Software Engineer program in the U.S., designed to develop technical foundations through structured learning, mentorship, and hands-on project work.

You will design, develop, test, and troubleshoot software while collaborating with experienced engineers, leveraging AI tools responsibly, and pursuing meaningful technology outcomes across teams.

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