Senior / Staff+ Software Engineer, Autonomous Agent Infrastructure

About the role

We're building the infrastructure that enables Claude to act in the world—booking travel, writing code, calling APIs, managing files, and completing multi-step tasks autonomously. This is foundational work for the next generation of AI capabilities.

The Agent Infrastructure team designs and operates the execution environments, state management systems, and security boundaries that make autonomous AI agents safe and reliable. You'll work at the intersection of distributed systems, security engineering, and product—building systems that don't exist anywhere else in industry.

This is a high-priority initiative. The problems are hard, the scope is greenfield, and the impact is immediate.

What you'll do:

• Design and build sandboxed compute environments where Claude can safely execute code, access tools, and interact with external services
• Build state management systems for long-running agent tasks—handling checkpoints, recovery, and resumption across failures
• Develop authentication and authorization frameworks for delegated access—enabling Claude to act on behalf of users securely
• Create observability and debugging tools for agent execution—understanding what Claude did, why, and how to make it better
• Partner closely with product and research teams to define what's possible and ship it

You may be a good fit if you:

• Have 6+ years of experience building distributed systems, infrastructure, or platform services at the hyper scale
• Comfortable building Cloud Native infrastructure on GCP, AWS, or Azure
• Care deeply about security, isolation, and building systems that fail safely
• Have experience with containers, sandboxing, or secure execution environments (e.g., gVisor, Firecracker, V8 isolates)
• Are comfortable with ambiguity—this is greenfield work, and you'll help define the architecture
• Write clean, maintainable code in Python, Go, Rust, or similar
• Want to work on problems that don't have existing playbooks

Strong candidates may have:

• Experience building multi-tenant execution platforms or serverless infrastructure
• Background in security engineering, sandboxing, or isolation technologies
• Familiarity with workflow orchestration systems (Temporal, Airflow, Step Functions)
• Experience with state machines, checkpointing, or durable execution patterns
• Low-level systems experience (Linux internals, eBPF, container runtimes)