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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 initi
Location & work details
Office location and remote eligibility are separate. A country flag describes the stated location, not who may apply.
- Original location
- London, UK
- Country
- London, UK (ATS location fields)
- Stack
- Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. (Source language/tool mention)
- Stack
- - Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. (Source language/tool mention)
- Stack
- - Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. (Source language/tool mention)
- Stack
- - Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) (Source language/tool mention)
- Stack
- - Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) (Source language/tool mention)
- Stack
- - Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. (Source language/tool mention)
- Stack
- e with cluster and host networking: CNI (Cilium), eBPF, NetworkPolicy, multi-NIC, sFlow, service mesh (I (GTM description)
- Normalization
- Explicit source location text; no city-only country inference.
Employer posting
Staff Infrastructure Engineer, Cluster InfrastructureSource details
Company identifier: Anthropic
Source ID: greenhouse:anthropic:5211297008
Board: greenhouse:anthropic
Evidence field: description
Match rule: alternative_in_list
Go matches in source: 1
Department as supplied: Software Engineering - Infrastructure
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