Anthropic’s Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The role focuses on managing compute clusters across cloud providers and internal datacenters, setting technical strategy for cluster lifecycle management, and leading engineering initiatives to support scalable, secure, and high‑performance AI workloads.
Senior Staff+ Infrastructure Engineer, Cluster Infrastructure en Anthropic
Híbrido - San Francisco, CA; New York City, NY; Seattle, WA
Más vacantes en AnthropicSalary
USD 405,000 - 485,000
Requirements
Skills
- Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure)
- Strong proficiency in at least one systems language (e.g., Rust, Go, or Python)
- IaC proficiency with Terraform
- Track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems
- Ability to build alignment across senior stakeholders and communicate effectively at all levels
- 12+ years of software engineering experience, including time as a technical lead setting direction for a team
- Experience operating large-scale compute infrastructure at hyperscale (100+ clusters, 10K+ nodes)
- Depth in Kubernetes internals, cluster provisioning and management systems, cluster orchestration systems (Mesos, Borg-like)
- Experience with cloud networking: VPC design and peering, Shared VPC/Transit Gateway, Cloud Interconnect/Direct Connect, Cloud NAT, cross-cloud private connectivity, BGP and route control, edge load balancing and DDoS mitigation (Cloud Armor / AWS Shield)
- Experience with cluster and host networking: CNI (Cilium), eBPF, NetworkPolicy, multi-NIC, sFlow, service mesh (Istio/Envoy/Linkerd, mTLS)
- Experience with cluster security: pod security standards and admission control, RBAC and least-privilege IAM, node and container hardening, supply‑chain/image provenance
- Deep experience with infrastructure‑as‑code (Terraform, Atlantis), workflow orchestration (Temporal, Argo Workflows)
- Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems
- Bachelor’s degree or an equivalent combination of education, training, and/or experience
Responsibilities
- Own the technical strategy and roadmap for agent‑driven cluster lifecycle management - provisioning, updates and decommissioning
- Partner across teams to ensure new compute capacity is ingested on time
- Align with partner teams on physical build‑out and leverage cloud solutions to deliver high‑bandwidth inter‑cluster connectivity
- Collaborate with security owners to ensure clusters are provisioned secure‑by‑default
- Define and drive strategy on cluster scalability, homogeneity and fault tolerance
- Work closely with cloud providers and internal research, inference and product teams to shape long‑term compute, data, and infrastructure strategy
- Establish and evolve operational‑excellence practices: incident response, postmortem culture and on‑call health
- Support the growth of engineers around you through technical mentorship and coaching
Technologies
KubernetesInfrastructure as CodeAWSGCPAzureRustGoPythonTerraformMesosBorg-likeVPCShared VPCTransit GatewayCloud InterconnectDirect ConnectCloud NATCloud ArmorAWS ShieldCNICiliumeBPFNetworkPolicymulti‑NICsFlowIstioEnvoyLinkerdmTLSRBACIAMTerraformAtlantisTemporalArgo Workflows
Descubre si tu currículum está listo para esta vacante
Mira cómo nuestra IA puede optimizar tu currículum y aumentar tus chances en este puesto.