Staff Software Engineer, Anthropic

• Deep expertise in Kubernetes management (not just usage but actual administration and customization)
• Proven track record of managing large-scale infrastructure projects
• Strong hands-on coding skills with ability to work across the stack
• Experience with distributed systems architecture and design
• 10+ years of software engineering experience with 4+ years in infrastructure/platform roles
• Expert proficiency in at least one systems programming language (Go, Rust, C++)
• Deep understanding of container orchestration and cluster management
• Experience with Infrastructure as Code (Terraform, CloudFormation, etc.)
• Strong debugging and performance optimization skills
• Knowledge of modern observability practices
• Enjoy solving complex technical challenges with real-world impact
• Have a passion for building reliable, scalable infrastructure
• Get excited about working with cutting-edge AI hardware
• Thrive in a fast-paced environment where you can have significant influence
• Are comfortable with ambiguity and taking initiative to drive projects forward
• Love diving deep into technical problems while keeping the big picture in mind
• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience

Desirable

• As a seasoned engineer on the Core Infrastructure team at Anthropic, you will be at the forefront of managing and optimizing the compute resources that power our cutting-edge AI systems
• You'll work with some of the most advanced hardware available, including TPUs, GPUs, and Tranium chips, across multiple cloud providers to ensure our AI models run efficiently and reliably
• The Core Infrastructure team is responsible for managing all compute resources and infrastructure that power Anthropic's AI systems
• We manage hardware across AWS and GCP, ensuring optimal utilization, reliability, and performance at massive scale
• Lead technical strategy and implementation for critical infrastructure components
• Partner with users across the organization to identify pain points and develop end-to-end solutions
• Collaborate closely with engineering leadership on roadmap planning and strategic direction
• Drive cloud provider customizations and optimizations for our unique hardware and workload requirements
• Develop deep expertise in specific domains while maintaining broad knowledge across all infrastructure areas
• Mentor team members and promote technical excellence across the organization
• Design and implement systems for managing large-scale distributed compute resources
• Lead initiatives to improve reliability, efficiency, and performance of our infrastructure