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Cloud Engineering

Cloud Development Engineering Intern

Help build the cloud development systems that let teams turn agent-generated changes into controlled, verifiable production releases.

01 / The role

Build the system, then prove it works.

CaelumenAI is building the governed production layer for agent-native software. PERCO, our flagship product, turns agent output into a reviewable plan, a controlled release, and evidence of what happened. As a Cloud Development Engineering Intern, you will work across our application, cloud infrastructure, deployment workflows, and verification tooling. You will own small, real product slices from a clearly scoped problem through implementation, browser and system validation, and an evidence-backed handoff. Compensation: Salary range is not disclosed for this internship. We will discuss internship scope and compensation during the process.

02 / Your work

What you’ll do

  • Build and improve cloud-backed product and deployment workflows across Python, web, APIs, and Google Cloud
  • Work with coding agents as collaborators: prepare context, review outputs, and make final engineering decisions
  • Automate repeatable checks with pytest, Playwright, logs, and deployment evidence
  • Investigate failures to root cause and ship durable fixes with regression coverage
  • Help maintain secure, observable, human-controlled release paths

03 / The signal

What we’re looking for

Evidence over pedigree

Show us something you scoped, built, tested, and debugged—and tell us what the evidence changed.

  • One substantive project you designed, built, tested, and debugged that you can explain in detail
  • Working proficiency in Python or JavaScript or TypeScript, Git, and web fundamentals
  • Familiarity with cloud services, containers, CI/CD, or infrastructure as code through coursework, personal work, or prior experience
  • Comfort reading logs, testing in a real browser, and iterating until a user-facing flow works
  • Clear written communication and a bias toward ownership, careful judgment, and evidence

04 / Bonus signal

Useful, not required

  • Experience with Google Cloud, Cloud Run, PostgreSQL, Docker, or GitHub Actions
  • Familiarity with AI coding agents, MCP, or agent evaluation workflows
  • Open-source contributions or a deployed product that real people can use

05 / What we offer

What you get

  • Direct mentorship on real production work
  • High ownership over scoped, end-to-end engineering projects
  • Flexible remote collaboration with an option to work from San Francisco
  • Work at the intersection of cloud infrastructure, AI agents, and responsible delivery