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Cloudflare

Mid

Build internal developer platforms and agentic tooling (MCP servers, AI agents) for Cloudflare's engineering org

Cloudflare's Engineering Platform and Productivity team builds the self-service platform and internal tools hundreds of engineers rely on to deploy and operate services safely. This role has a specific focus on Agentic Engineering — building MCP servers, agentic IDEs, autonomous agents, and evals to bring AI-native improvements to Cloudflare's internal SDLC. Based in Bengaluru, India, working across Bash, TypeScript, and Go, with both software engineering and DevOps/on-call responsibilities.

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这场面试考什么

  • Agentic engineering: building MCP servers, agents, evals for internal tooling
  • Developer productivity platform design (self-service, GitOps, migration safety)
  • Incident response and hardening shared platform infrastructure
  • Working across Bash, TypeScript, and Go codebases
  • Breaking down ambiguous platform problems and discussing tradeoffs

常见提问方向

Describe an MCP server, agent, or AI-native tool you built and how you evaluated it

How would you design a GitOps improvement or automated migration-safety check

Tell me about an incident on a shared platform and what you changed afterward

How do you decide what to build as a reusable platform vs. leave to product teams

Walk through your approach to a messy source-control situation (rebase/merge conflict)

How do you harden a platform against security or resource-contention issues

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