# Staff+ Software Engineer, Claude Managed Agents

**Company**: Anthropic
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Salary**: $405,000-$485,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5395767008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_47d0091e-c2f

## Description

## 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

## Skills

### Required
- backend engineering
- distributed systems
- infrastructure engineering
- API design
- product sense

### Nice to have
- agent harness
- LLM orchestration layer
- AI platform
- evaluation infrastructure
- durable execution

---

Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5395767008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)