Software Engineer, Cloudflare

• We're looking for an engineer who is as comfortable designing an AI-assisted solution as they are writing the service that implements it
• 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

Desirable

• Cloudflare's Enterprise Integrations Engineering Team designs, builds, and maintains integrations across the SaaS applications used throughout the organization
• We're increasingly applying AI, from agentic workflows to LLM-assisted development and automated diagnostics, to build integrations faster, operate them more reliably, and reduce manual toil across the team
• Our mission is to create scalable, reliable, and intelligent systems that ensure data flows securely and efficiently between platforms, and to use AI as a force multiplier for how we design, build, and support that work
• Our team is highly collaborative, values continuous learning, and supports each other through shared ownership and open communication
• We work closely with both technical and business teams, conduct regular retrospectives, and are actively evolving how AI tooling changes the way we plan, build, test, and troubleshoot integrations
• You'll build and maintain integration workflows between Cloudflare and a variety of SaaS applications, but increasingly, you'll also evaluate where an LLM, agent, or automation layer can replace brittle point-to-point logic, speed up development, or improve operational response
• 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