Senior Network Engineer
Senior Network Engineer responsible for operating and architecting Cloudflare's global edge and backbone network, building AI-powered operational tooling, and mentoring engineers. Requires deep expertise in BGP, MPLS, network automation, and production LLM agent development.
About the job
Role Responsibilities
- Own the technical operation, engineering, and architecture of Cloudflare's global network, including planning, installation, and day-to-day management of hardware and software across the edge and backbone.
- Serve as a hands-on operational anchor for the team — diagnosing and resolving complex network faults, owning incident response end-to-end including on-call rotation, and contributing to post-incident reviews to drive continuous improvement.
- Build production AI agents for network operations. Design, ship, and own LLM-powered tools that integrate with our operational systems of record via tool calling. Ship them with evals, observability of agent decisions, cost tracking, and human-in-the-loop checkpoints where autonomous action carries blast radius.
- Apply AI to accelerate troubleshooting. Use and extend our internal AI platform (Workers AI, AI Gateway) to speed up root cause analysis, pattern recognition across faults, and operational decision-making under pressure.
- Architect network improvements that lower latency, reduce packet loss, and increase scale — optimising end user experience across Cloudflare's global infrastructure.
- Mentor and develop junior engineers on the team, setting technical standards, conducting structured troubleshooting sessions, and building a culture of operational excellence and continuous learning.
- Collaborate with internal teams on cross-functional network projects, contributing to design documentation, SOPs, and knowledge base articles that outlast any individual contributor.
Role Requirements (Must-Have Skills)
- Proven track record in large-scale network engineering and operations.
- Proficiency in Python and/or TypeScript and/or Go sufficient to build, debug, and maintain agent code, not just to glue scripts together.
- Working knowledge of agent integration patterns: function/tool calling, MCP or equivalent, retrieval over operational corpora (runbooks, postmortems, change history), and prompt iteration with evals.
- Experience reasoning about agent failure modes in production: hallucination guards, fallback paths, rollback, blast-radius control.
- Deep expertise in BGP and anycast routing, with the ability to diagnose and resolve complex routing issues in a production environment.
- Strong understanding of MPLS and Segment Routing.
- Proficiency across multiple network vendor operating systems (Juniper, Cisco, Arista, or similar).
- Experience with network automation frameworks such as SaltStack, Ansible, or equivalent, and a strong instinct for solving operational problems through code.
- Ability to prioritise effectively and lead calmly when faced with high-pressure scenarios.
- An effective communicator who can adapt their style to any audience — whether guiding a junior engineer through a fault or presenting a network architecture decision to senior leadership.
Nice-to-Have Skills
- Shipped LLM-powered tooling into production use by a team other than your own, with measurable operational impact.
- Professional-level network certification (JNCIP, CCNP, or equivalent or higher).
- Experience with optical transport technologies such as CWDM and DWDM.
- Linux system administration.
- Experience writing network configuration and design documentation at an architectural level.
Skills
Python, TypeScript, Go, BGP, Anycast, Mpls, Segment Routing, Juniper, Cisco, Arista, Saltstack, Ansible, Llm Agents, Tool Calling
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