Cloudflare

At Cloudflare, we are building industrial-scale AI agents to directly support customers, moving beyond research to deliver real-world impact from day one. This role involves assembling existing Cloudflare technologies like Workers, Durable Objects, KV, R2, D1, Vectorize, Workers AI, AI Gateway, and the Agent SDK into functional agents that customers will use daily. The primary goal is to ship production agents on the Cloudflare stack, iterating rapidly through building, deploying, and learning. Your code will serve as the primary interface for Cloudflare customers interacting with these AI capabilities.

The Developer Productivity team at Cloudflare builds internal tools and platforms to enhance the velocity and developer experience for Cloudflare's engineering teams. This role is responsible for AI-assisted development across all of Cloudflare engineering, with significant adoption growth in the past year. As a Software Engineer on this small, high-impact team, you will have substantial ownership from day one. You will help build and operate internal platforms that enable Cloudflare engineers to develop, deploy, and run software safely and efficiently, working across developer tooling, CI/CD, GitOps, and AI-assisted development, including MCP servers, agents, evals, and context engineering. Additionally, you will contribute to governing and enforcing Cloudflare’s Engineering Codex by translating engineering standards into automated guardrails, paved paths, and actionable feedback.

Cloudflare's Enterprise Integrations Engineering Team designs, builds, and maintains integrations across the SaaS applications used throughout the organization. We are 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.

Cloudflare MCP Server Portals provide organizations with a secure, centralized method to connect AI agents to internal and third-party tools. As a Systems Engineer on the MCP Portals team, you will be responsible for building and operating the distributed systems that handle user authentication, OAuth credential and session management, Zero Trust policy enforcement, and MCP traffic proxying across Cloudflare's global network. You will manage projects from their initial design through to their rollout and ongoing production support, collaborating with engineers and product managers from various teams. The ideal candidate will be adept at making sound technical decisions, navigating complex system problems, and taking ownership of the services they develop.

€54k - €75k

Cloudflare is seeking an Engineering Manager to lead a team focused on AI and Internet Data Insights. This role is within the Emerging Technologies & Incubation (ETI) department, responsible for building and launching new products. The team operates at the intersection of AI, search, retrieval, data insights, and product engineering, addressing emerging challenges in how AI agents discover and interact with the internet. Cloudflare's unique network position allows for solving problems at massive scale, improving content discoverability, and transforming internet signals into valuable customer experiences. The ideal candidate will be deeply technically credible, capable of understanding complex systems, challenging architectural decisions, and stepping in to solve technical problems when necessary. Success will be measured by the team's output, engineer development, and the quality of delivered systems and products.

This Senior Oracle Security and AI Engineer will be primarily responsible for the Oracle Fusion security architecture, role design governance, and oversight of the Risk Management Cloud service and AI initiatives. The Engineer will serve as a hands-on expert for the technical administration, environment management, and platform integrity of the Oracle Fusion ERP Cloud environment. This role operates as a technical owner for Oracle Fusion Applications, Security, and the underlying Cloud and AI Infrastructure, focusing on building and deploying AI-driven tools and automation scripts to enhance platform security and optimize governance workflows.