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Design a Cloud DevBox Platform

Last updated: May 10, 2026

Quick Overview

This question evaluates understanding of system design and cloud infrastructure competencies, including virtualization/container orchestration, resource and lifecycle management, security, RBAC, multi-tenant architecture, and operational observability.

  • hard
  • OpenAI
  • System Design
  • Software Engineer

Design a Cloud DevBox Platform

Company: OpenAI

Role: Software Engineer

Category: System Design

Difficulty: hard

Interview Round: Technical Screen

Design a cloud DevBox platform: a service that provides developers with disposable or persistent remote development machines accessible through a browser, SSH, or IDE plugins. Clarify the product goals: - Users can create, start, stop, pause, resume, and delete dev boxes from predefined templates. - A dev box contains an operating system image, language/toolchain dependencies, repository checkout, user home directory, secrets, and allocated CPU, memory, storage, and optional GPU resources. - The platform supports organizations and teams, quota enforcement, role-based access control, audit logs, and cost controls. - The system should optimize for fast provisioning, high availability, scalability to many concurrent dev boxes, strong isolation, reliable persistence, and operational observability.

Quick Answer: This question evaluates understanding of system design and cloud infrastructure competencies, including virtualization/container orchestration, resource and lifecycle management, security, RBAC, multi-tenant architecture, and operational observability.

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OpenAI
Apr 20, 2026, 12:00 AM
Software Engineer
Technical Screen
System Design
32
0

Design a cloud DevBox platform: a service that provides developers with disposable or persistent remote development machines accessible through a browser, SSH, or IDE plugins.

Clarify the product goals:

  • Users can create, start, stop, pause, resume, and delete dev boxes from predefined templates.
  • A dev box contains an operating system image, language/toolchain dependencies, repository checkout, user home directory, secrets, and allocated CPU, memory, storage, and optional GPU resources.
  • The platform supports organizations and teams, quota enforcement, role-based access control, audit logs, and cost controls.
  • The system should optimize for fast provisioning, high availability, scalability to many concurrent dev boxes, strong isolation, reliable persistence, and operational observability.

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