Staff+ Software Engineer, Claude App Infrastructure
Confirmed live in the last 24 hours
Anthropic
Job Description
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Claude App Infrastructure owns the reliability, experience, and agentic capabilities of claude.ai. We are the platform team for Anthropic's flagship consumer product — responsible for the serving architecture that keeps Claude available at scale, the conversation experience, and the infrastructure that lets every product team at Anthropic ship into claude.ai safely and fast. When the product grows at hyper scale, we are the team that makes sure it feels the same — or better.
Beyond the foundation, we are building the agentic layer that turns claude.ai from a chat surface into an execution surface: task execution, personalization, browser use, server-side tools. This is where the next generation of the product gets built — the primitives that let Claude act in the world, not just respond. We believe reliability and velocity are the same problem, and our job is to build the systems that make both inevitable.
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 10+ 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)
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experie
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