Cloud Development Engineering Intern

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

Applications open

Location:

Remote / San Francisco, CAWork model:
Remote-first

Employment:
Internship Compensation:
Salary range shared in process

Application window:
Open until filled

Apply for this role ↓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 Type Script, 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 Git Hub 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

Application## Apply for this role

Tell us what you have built and how you know it worked. A concise application with real evidence is enough.
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