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Cloudflare is seeking an Engineering Manager to lead the Cloudflare Network Interconnect (CNI) team, which builds and operates systems enabling enterprise customers to connect their networks directly to Cloudflare through private, dedicated interconnects. The CNI product supports various interconnect types across hundreds of worldwide locations and underpins critical services including Magic Transit, Cloudflare WAN, Zero Trust, and application security for Cloudflare's largest customers.
In this role, you will hire, mentor, and coach a distributed team of Software Engineers while shaping the team's culture and technical vision. You'll work closely with Product Managers and other Engineering leaders to communicate vision, prioritize the roadmap, and achieve cross-functional objectives.
Key responsibilities include:
- Hiring, onboarding, and developing team members while inspiring them to reach higher
- Conveying project status and resolving blockages using appropriate tools and processes
- Understanding technical implications of work across BGP, physical and virtual interconnect provisioning, and distributed control-plane services
- Taking responsibility for production services by organizing on-call rotations, handling customer escalations, and overseeing incident response
- Driving reliability and automation improvements for the provisioning pipeline
- Coordinating with Network Operations, Sales Engineering, and Partner teams on capacity planning and integrations
You should have 3+ years of experience as an Engineering Manager for Software and Systems Engineers, with a track record of managing teams through hiring, onboarding, and professional development. Technical background in IP networking (BGP, Layer 3 routing, interconnect technologies) is essential. Experience building or operating provisioning/automation systems, monitoring distributed systems, and managing on-call rotations for production services with customer impact is highly valued. You excel at planning and execution, communicate clearly in writing and verbally, and are willing to adopt AI tools into your workflow.