About the Job
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 Intern...
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 ...
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 mor...
Key Responsibilities
We're looking for an engineer who is as comfortable designing an AI-assisted solution as they are writing the service that implements it. 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
Required Skills & Abilities
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
Experience with LLM APIs (Anthropic, OpenAI, etc.)
Experience with prompt engineering, evals, or AI guardrail/governance practices
Experience with business systems such as Oracle or NetSuite
Experience working in an Agile Scrum environment
Familiarity with Jira and Confluence
Familiarity with integration patterns (pub/sub, api-first, CDM, batch processing)
Experience with PostgreSQL
Experience with Cloudflare Developer Platform (Workers, Workflows, D1, etc.)
Qualifications
Experience:
3 years experience
Education:
Bachelor
