Software Engineer (Enterprise Integrations)

• 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

Benefits

• Competitive pay: We offer a competitive total rewards package, where every employee is an owner of our stock.
• Take-what-you-need vacation: We encourage employees to find a comfortable work-life balance by taking as many days off as they need while still being able to perform their jobs satisfactorily. (We really mean it!)
• Paid maternity & paternity leave: Our global parental leave policy allows up to sixteen paid weeks of bonding leave time for all qualifying new parents.
• Employee benefits: We offer a comprehensive benefits package including healthcare, life insurance, short- and long-term disability, pension plans in accordance with the market practice in our locations.
• Commuter program: We are flexible about where we work and value connecting at the office. Our commuter benefits program is in place to support team members’ commute to work via public transportation without the extra cost burden.
• Wellbeing: Global offerings that provide mental health, childcare and family forming support to our employees across our offices.- 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
• Willingness to participate in an on-call rotation with 10+ engineers
• Experience building RESTful APIs with proper service security practices
• 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 with observability tooling (Grafana, Prometheus, Sentry, Kibana, or similar)
• 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
• 3+ years of professional software engineering experience
• Proficiency in at least one backend language (Go strongly preferred; Python/TypeScript also considered)
• Working familiarity with containerized/cloud environments (Kubernetes, or equivalent cloud-native experience)
• 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.)