Cloud Platform Intern: Shape Production Releases (Remote)

PERCO; San Francisco (CA); On-site; USD 15,624 - 31,248; Part time

Job summary

PERCO is seeking a Cloud Development Engineering Intern to help build cloud-backed deployment workflows across Python, web, APIs, and Google Cloud. You will work on end-to-end slices from scoped problems through validation and handoff, owning small features with evidence-backed results.

You’ll collaborate with teams, automate checks, and investigate failures to ship durable fixes with regression coverage while maintaining secure release paths in a remote-friendly setup.

Qualifications

• One substantive project you designed, built, tested, and debugged, with evidence of results.
• 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 or personal projects.
• 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.
• Collaborate with coding agents: 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.
• Maintain secure, observable, human-controlled release paths.

Skills

Python

JavaScript

TypeScript

Git

Web fundamentals

Cloud services

Containers

CI/CD

Infrastructure as code

Logs

Browser testing

Tools

Docker

Google Cloud

PostgreSQL

GitHub Actions

Job description

PERCO is seeking a Cloud Development Engineering Intern to help build cloud-backed deployment workflows across Python, web, APIs, and Google Cloud. You will work on end-to-end slices from scoped problems through validation and handoff, owning small features with evidence-backed results.

You’ll collaborate with teams, automate checks, and investigate failures to ship durable fixes with regression coverage while maintaining secure release paths in a remote-friendly setup.