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Staff Infrastructure Engineer, Cluster Infrastructure (AI)

320 000 - 485 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Staff Infrastructure Engineer (Cluster Infrastructure/AI): Designing and scaling the full lifecycle of compute clusters across cloud providers and datacenters with an accent on agent-driven automation and high-bandwidth connectivity. Focus on establishing technical strategy for cluster scalability, homogeneity, and fault tolerance at hyperscale.

Location: San Francisco, CA; New York City, NY; or Seattle, WA. Hybrid policy requires staff to be in one of the offices at least 25% of the time, with some roles requiring more office attendance.

Annual salary: $320,000–$485,000 USD.

Company

Anthropic develops reliable, interpretable, and steerable AI systems designed to be safe and beneficial.

What you will do

  • Own the technical strategy and roadmap for agent-driven cluster provisioning, updates, lifecycle management, and decommissioning.
  • Coordinate with infrastructure, research, inference, product, security, and cloud-provider partners to bring compute capacity online.
  • Design high-bandwidth inter-cluster connectivity across cloud environments and Anthropic datacenters.
  • Define strategies for cluster scalability, homogeneity, security-by-default provisioning, and fault tolerance.
  • Establish operational-excellence practices including incident response, postmortems, and sustainable on-call operations.
  • Mentor and coach engineers while leading complex, multi-quarter initiatives across teams and systems.

Requirements

  • Deep expertise in distributed systems, reliability, and cloud platforms such as Kubernetes and AWS, GCP, or Azure.
  • Strong proficiency in at least one systems language, including Rust, Go, or Python, and in infrastructure as code with Terraform.
  • Experience leading complex technical initiatives spanning multiple teams or systems and aligning senior stakeholders.
  • Experience operating large-scale compute infrastructure at hyperscale, including 100+ clusters or 10K+ nodes.
  • Expertise in cluster provisioning, orchestration, cloud networking, cluster networking, security, or infrastructure automation.
  • Bachelor’s degree or an equivalent combination of education, training, and experience in a relevant field.

Nice to have

  • 10+ years of software engineering experience, including technical leadership and direction-setting.
  • Experience with Kubernetes internals, Mesos- or Borg-like orchestration, Cilium, eBPF, service meshes, and mTLS.
  • Experience with VPC design, peering, Transit Gateway, Cloud Interconnect, Direct Connect, BGP, route control, and DDoS mitigation.
  • Experience with Terraform, Atlantis, Temporal, or Argo Workflows.

Culture & Benefits

  • Collaborative work across research, engineering, policy, and business teams on large-scale AI efforts.
  • Flexible working hours and an office environment for collaboration.
  • Generous vacation and parental leave.
  • Competitive compensation, benefits, and optional equity donation matching.
  • Visa sponsorship is available, with immigration-lawyer support, subject to role and candidate eligibility.

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