Jobs · Education

Cloud Development Engineering Intern

CaelumenAI · San Francisco Bay Area · 3 wk ago
EducationInternship

Location: Remote / San Francisco, CA
Work model: Remote-first
Employment: Internship

About the role

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.

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

Requirements

  • 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

Nice to have

  • 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

Benefits

  • 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

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