About the company
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Responsibilities
- Taking integration work from concept through implementation: requirements, technical specs, development, testing, and deployment
- Identifying where AI/LLM-based approaches (agentic workflows, automated triage, code generation) can improve integration design, delivery speed, or operational support
- Building and/or extending internal AI tooling (agents, skills, MCP servers, automation scripts) that supports the team's engineering and BAU workflows
- Collaborating with internal stakeholders to translate business problems into technical solutions, whether that's a traditional service or an AI-driven one
- Contributing to how the team evaluates, adopts, and governs AI tooling responsibly (data handling, model choice, skills, guardrails)
- As you grow, leading larger initiatives and owning integration/ui/mcp projects, including AI-tooling initiatives, end to end
Requirements
- Bachelor's degree in Computer Science or related field, or equivalent work experience
- 3+ years of professional software engineering experience
- Proficiency in at least one backend language (Go strongly preferred; Python/TypeScript also considered)
- Demonstrated experience using AI/LLM tools to build real solutions, such as building an AI agent, LLM powered automation, or shipping code with heavy AI-assisted development (not just using ChatGPT to write code faster)
- Experience working with internal stakeholders to solve business problems through integration or automation solutions
- Experience building RESTful APIs with proper service security practices
- Experience with observability tooling (Grafana, Prometheus, Sentry, Kibana, or similar)
- Working familiarity with containerized/cloud environments (Kubernetes, or equivalent cloud-native experience)
- Experience with serverless computing platform (e.g., AWS Lambda, Google Cloud Functions, Azure Functions, or Cloudflare Workers)
- Experience with GitLab or other CI/CD tooling
- Willingness to participate in an on-call rotation with 10+ engineers
Conditions
- Available Locations: Austin, TX
- Hybrid work model