Software Engineer, Cloudflare Network Interconnect

Responsibilities

• Build and extend systems that provision, monitor, and orchestrate private network interconnects at scale.
• Collaborate with Product Management, Network Engineering, and Infrastructure teams on initiatives to connect enterprise customers directly to Cloudflare's global network.
• Participate in all stages of the software development lifecycle: designing and documenting systems, writing code and automated tests, planning, managing, and monitoring production software deployments.
• Work with technologies including Rust, Go, PostgreSQL, Prometheus, Kubernetes, Linux networking, network operating systems, and BGP routing.
• Operate under a "Run What You Build" model, taking responsibility for system health and participating in on-call rotation.
• Solve problems of massive scale in a fast-paced environment, valuing curiosity and empathy.

Requirements

• Systems-level programming experience in Rust, Go, C, or C++.
• Understanding of IP networking fundamentals: BGP, Layer 3 routing, and physical/virtual interconnect technologies (cross-connects, VLANs, overlay tunnels).
• Experience building, deploying, and debugging distributed systems.
• Experience participating in an on-call rotation for services with direct customer impact.
• Willingness to adopt and integrate AI tools and systems into workflow.
• Strong collaboration and communication skills.

Nice-to-Haves

• Hands-on experience with BGP configuration, route policy, or peering operations.
• Experience building provisioning or automation systems for network infrastructure.
• Familiarity with network inventory and IPAM systems (e.g., NetBox).
• Experience with cloud provider networking (AWS Direct Connect, GCP Partner Interconnect, Azure ExpressRoute).
• Knowledge of GRE, VXLAN, or other overlay/tunnel technologies.
• Experience with Kubernetes-based service deployments and CI/CD pipelines.
• Experience with telemetry/observability platforms (Prometheus, Grafana, ClickHouse, Elasticsearch).
• Experience using AI-assisted development tools (e.g., code completion, codebase analysis, log/data exploration) in a professional setting.