Staff+ engineer building the agentic infrastructure layer for claude.ai: sandboxed execution, stateful task orchestration, and secure delegated access at scale.
320k – 485k/yr
Hybrid7+ YOEBackend Engineering
About the role
Key Responsibilities
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, so Claude can act on behalf of users securely
Create observability and debugging tools for agent execution, so we understand 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
Minimum Qualifications
Experience building distributed systems, infrastructure, or platform services at scale
Comfort building cloud native infrastructure on GCP, AWS, or Azure
Experience with containers, sandboxing, or secure execution environments (e.g., gVisor, Firecracker, V8 isolates)
Write clean, maintainable code in Python, Go, Rust, or a similar language
Care about security, isolation, and building systems that fail safely
Preferred Qualifications
Comfort with ambiguity and greenfield work where you help shape the architecture
Interest in problems that don't have existing playbooks
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)
The Cloud Inference team is seeking Staff/Senior Software Engineers to scale and optimize Claude across multiple cloud service providers. This role involves designing, building, and owning backend services and infrastructure, collaborating cross-functionally, and ensuring reliable and cost-effective inference management at massive scale.
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Hybrid5+ YOEBackend Engineering
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