Software Engineer, Networking

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role

We’re looking for experienced network engineers who are also skilled software developers to help build and scale the networking infrastructure that powers Claude and our AI research. This is a hands-on role where you’ll work on everything from physical network builds to software-defined networking, from extending connectivity to new data center sites to building robust monitoring and automation systems. The bytes must flow! You’ll be joining a small, growing team working on mission-critical infrastructure for one of the most exciting AI systems in the world. This role requires both technical depth in networking and the flexibility to solve problems across the stack—from configuring routers to writing Python automation, from troubleshooting physical connectivity to designing scalable network architectures.

Key Responsibilities

• Build and operate production networks: Design, deploy, and maintain high-performance networks across multiple data center sites, including managing physical infrastructure, routing protocols, and network security
• Develop network automation and tooling: Write software to automate network provisioning, configuration management, and operational workflows
• Ensure reliability and performance: Implement comprehensive monitoring, build debugging tools, investigate outages, and drive continuous reliability improvements
• Scale networking infrastructure: Plan and execute network expansions to new sites and facilities, including working with vendors, managing physical builds, and migrating live traffic
• Collaborate cross-functionally: Partner with compute, storage, and ML infrastructure teams to optimize network performance for AI workloads and troubleshoot complex distributed systems issues
• Incident response: Participate in on-call rotation and lead response to network-related incidents

About You

We’re looking for engineers who think of themselves as problem-solvers first, who happen to have deep networking expertise. The ideal candidate has:

Required:

• 5+ years of experience in network engineering, with hands-on experience building and operating production networks
• Strong software development skills (Python, Go, or similar) and experience building network automation, tooling, or infrastructure software
• Deep understanding of networking fundamentals: TCP/IP, BGP, ISIS, OSPF, VLANs, VPCs, routing, switching, and network security
• Experience with the full stack of networking—from physical layer concerns (cabling, optics, hardware) through software-defined networking
• Comfort working with Linux, command-line tools, and infrastructure-as-code approaches
• Track record of debugging complex distributed systems