Software Engineer - Platforms & Productivity

About Us

At Cloudflare, we are on a mission to help build a better Internet. We run one of the world’s largest networks, powering millions of websites and Internet properties. We value builders who spot "normalized" problems and use AI-native curiosity to create solutions. Our culture is built on iteration, leveraging AI to ship faster and sharing improvements across the team.

About the Team and Role

The Developer Productivity team builds internal tools and platforms that improve the velocity and developer experience of Cloudflare's engineering teams. We own the full lifecycle from code commit to production, including developer insights, CI/CD, build systems, and AI-assisted development.

As a Software Engineer, you will build and operate internal platforms that help Cloudflare engineers develop, deploy, and run software safely. You will work across developer tooling, GitOps, and AI-assisted development (including MCP servers, agents, and evals), while turning engineering standards into automated guardrails.

What You’ll Do

• Build developer productivity tools, MCP servers, and AI agents.
• Automate Engineering Codex controls through CI/CD checks, templates, and policy-as-code.
• Monitor Codex adoption, improve controls, and support remediation workflows.
• Improve GitOps, developer experience, platform security, and reliability.
• Partner with product teams on architecture and platform adoption.
• Respond to and prevent incidents affecting internal platforms.

What We’re Looking For

• Experience with TypeScript, Go, or Bash.
• Strong debugging and source-control skills.
• Experience with CI/CD, GitOps, or developer platforms.
• Ability to break down complex problems and evaluate trade-offs.
• Clear communication and a strong focus on developer experience.

Bonus Points

• Experience with AI agents, MCP, evals, or LLM-based tooling.
• Experience with policy-as-code or compliance automation.
• Background in platform engineering or developer productivity.
• Experience operating distributed or Kubernetes-based systems.