Staff+ Software Engineer, Claude Managed Agents

About the role

We are looking for experienced backend and distributed systems engineers to join the Agentic Systems team within our Platform organization. Agentic Systems builds Claude Managed Agents: the hosted platform for building, running, and scaling production agents on Claude.

Responsibilities

• Scale the platform. Managed Agents runs long-lived, stateful sessions that execute autonomously for minutes or hours/days, persist through disconnections, and resume cleanly , across Anthropic-hosted sandboxes, self-hosted environments on customer infrastructure, and other clouds.
• Evolve the harness , and prove it with evals. The harness is the loop that calls Claude, routes tool calls, manages context (caching, compaction, memory), and recovers from errors.
• Help builders get the most out of Claude. Our customers , internal and external , are building agents both as products for their users and to transform their own operations.
• Design APIs that outlast their implementations. Agents, environments, sessions, vaults, and event streams are interfaces thousands of developers build against and that our own products depend on.

Requirements

• Have a minimum of 8 years of practical experience as a backend, distributed systems, or infrastructure engineer
• Have built and operated stateful, long-running, or high-throughput systems in production , workflow orchestration, streaming, storage, container or job orchestration , and can reason rigorously about durability, consistency, failure modes, and cost
• Have strong product sense and treat API design as a craft; you care about the developer on the other side of the interface and can ideate and execute product strategy with cross-functional partners in new domains
• Are excited by 0 → 1 work and comfortable navigating ambiguity, and have ideally operated in both early-stage and more mature team or company settings
• Use Claude or other AI tools as a core part of how you build software, and have opinions about what makes an agent harness good
• Take full ownership of your work , from design through build, deployment, and operations (including on-call), to iterating on and improving what you ship
• Care about building systems that other engineers and businesses love to use, and about doing so safely

Nice to Have

• Built or contributed to an agent harness, agent framework, or LLM orchestration layer , tool execution, context management, memory, or multi-agent coordination
• Worked on an AI or ML platform (model serving, inference infrastructure, developer tooling) at an AI lab or an AI-native product company, or led adoption of AI-driven development inside an engineering organization
• Built evaluation or benchmarking infrastructure for LLM or agent systems
• Experience with durable execution or workflow engines, sandboxed code execution, or container runtimes
• Shipped public developer platforms, APIs, or SDKs used by external developers at scale

Logistics

• Annual Salary: $405,000-$485,000 USD