🛠 Tech Stack

💼 About This Role

You'll own the technical strategy for agent-driven cluster lifecycle management, provisioning high-bandwidth, secure-by-default compute clusters across cloud providers and datacenters. Your work directly enables scaling Claude to millions of users and accelerating AI safety research at a company growing faster than nearly any other.

🎯 What You'll Do

• Own technical strategy for agent-driven cluster lifecycle management
• Partner across teams to ingest new compute capacity on time
• Collaborate on physical build-out and high-bandwidth inter-cluster connectivity
• Drive strategy on cluster scalability, homogeneity, and fault tolerance

📋 Requirements

• Deep expertise in distributed systems, reliability, and cloud platforms (Kubernetes, IaC, AWS/GCP/Azure)
• Strong proficiency in at least one systems language (Rust, Go, or Python) and IaC 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

✨ Nice to Have

• 8+ years of software engineering experience including technical lead role
• Experience operating large-scale compute infrastructure at hyperscale (100+ clusters, 10K+ nodes)
• Depth in Kubernetes internals, cluster provisioning, or orchestration systems

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 🏥 Comprehensive health insurance
• 💰 Annual salary $320k-$405k
• 🚀 Equity packages
• 🔄 Visa sponsorship available

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical phone interview· 60 min
3. 3Onsite interviews (3-4 rounds)· 4 hours