Cloud Development Engineering Intern

CaelumenAI; San Francisco (CA); Remote; USD 41,328 - 55,104; Part time

Benefits offered by this job

Direct mentorship

High ownership over projects

Flexible remote collaboration

Job summary

Caelumen is seeking a Cloud Development Engineering Intern to help build cloud-backed deployment workflows across Python, web, APIs, and Google Cloud. You will collaborate with coding agents, prepare context, review outputs, and make final engineering decisions while automating checks and improving release evidence.

You’ll work on distributed cloud infrastructure, CI/CD pipelines, and verification tooling with mentorship and ownership over scoped engineering tasks.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

JavaScript

TypeScript

Git

Web fundamentals

Tools

Google Cloud

Cloud Run

PostgreSQL

Docker

GitHub Actions

Job description

# Cloud Development Engineering InternHelp build the cloud development systems that let teams turn agent-generated changes into controlled, verifiable production releases.Applications openLocation: Remote / San Francisco, CAWork model: Remote-firstEmployment: InternshipCompensation: Salary range shared in processApplication window: Open until filledApply 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 paths03 / The signal## What we’re looking forEvidence over pedigreeShow 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 evidence04 / 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 use05 / 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 deliveryApplication## Apply for this roleTell us what you have built and how you know it worked. A concise application with real evidence is enough.