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AnthropicAnthropic

Staff+ Software Engineer, Claude Managed Agents

Build and operate Claude Managed Agents, a production platform for long-running autonomous agents. The role requires 8+ years of backend, distributed systems, or infrastructure experience, strong API and product judgment, and expertise in reliable, stateful systems.

About the job

Responsibilities

  • Scale Claude Managed Agents, including durable session and event storage, sandbox orchestration, streaming, scheduling, and multi-tenant isolation.
  • Design and operate long-lived, stateful agent sessions across Anthropic-hosted sandboxes, customer infrastructure, and other clouds.
  • Evolve the agent harness for tool calls, context management, memory, error recovery, and model-generation changes.
  • Build evaluation infrastructure to measure harness quality against research baselines and customer workloads.
  • Ship capabilities such as outcome-driven execution, multi-agent orchestration, memory, observability, and tracing.
  • Design durable APIs for agents, environments, sessions, vaults, and event streams, including versioning, SDK, and CLI ergonomics.
  • Own systems end to end from design through deployment, operations, on-call, and iteration.
  • Partner with product, research, developer experience, and go-to-market teams on new platform capabilities.

Requirements

  • Minimum 8 years of practical experience as a backend, distributed systems, or infrastructure engineer.
  • Experience building and operating stateful, long-running, or high-throughput production systems.
  • Strong understanding of durability, consistency, failure modes, reliability, latency, and cost efficiency.
  • Strong product sense and API design skills.
  • Comfort with 0-to-1 work, ambiguity, cross-functional collaboration, and full ownership.
  • Experience using Claude or other AI tools as part of software development.
  • Commitment to safe, high-quality systems used by other engineers and businesses.
  • Bachelor’s degree or equivalent combination of education, training, and experience in a relevant field.

Nice-to-haves

  • Experience building agent harnesses, agent frameworks, or LLM orchestration layers.
  • Experience with tool execution, context management, memory, or multi-agent coordination.
  • Experience with AI or ML platforms, model serving, inference infrastructure, or AI-driven development.
  • Experience building evaluation or benchmarking infrastructure for LLM or agent systems.
  • Experience with durable execution, workflow engines, sandboxed code execution, or container runtimes.
  • Experience shipping public developer platforms, APIs, or SDKs used by external developers at scale.

Compensation and Benefits

  • Annual salary range: $405,000–$485,000 USD.
  • Hybrid policy: staff are currently expected to work from an office at least 25% of the time.
  • Visa sponsorship is available for eligible roles and candidates.

Skills

Distributed Systems, Backend Engineering, Infrastructure, API Design, Claude, Llm Orchestration, Agent Harnesses, Event Streaming, Storage Systems, Sandbox Orchestration, Container Runtimes, Multi-Tenant Isolation, Observability, Tracing, Workflow Engines

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