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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What this interview tests
- 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
Common question themes
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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