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Staff+ Site Reliability Engineer, Safeguards ML Infra

Anthropic· Safeguards (Trust & Safety)
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San Francisco, CA$320k - $485kFull-timePosted 1mo ago

About the role

Engineering role focused on production change management and safeguarding ML safety systems across multiple deployment platforms for Claude, including 1P, AWS Bedrock, and GCP Vertex. Responsible for configuring, validating, and automating safeguards during model launches and off-cycle deployments, building a scalable, repeatable pipeline, and owning incident response and on-call duties.

Responsibilities

  • Launch captain model releases: stand up, configure, and verify safeguards for every new model, and serve as the safeguards point of contact in the launch room during release windows.
  • Own the off-cycle deployment of new safety classifiers as they ship from research — canarying rollouts, running post-deploy validations, and investigating discrepancies when something looks wrong.
  • Verify that the right safeguards are provably live on the right models across every deployment platform (1P, AWS Bedrock, GCP Vertex, etc.), and detect and eliminate configuration drift between them.
  • Automate yourself out of last quarter's work: turn launch runbooks into tooling, hand-built checks into continuous validation, and one-off deploys into a repeatable pipeline.
  • Plan to use Claude aggressively to do this! And be a trailblazer that paves the path for safe agentic operations of safety-critical systems.
  • Build and maintain a safeguards registry with full provenance — what is running in production, on which model, on which platform, and when and by whom it was deployed.
  • Participate in on-call and operational-duty rotations covering service incidents, model provisioning, and time-sensitive research and safety launches.

Qualifications

  • Have owned production change management at scale — deploy pipelines, config management systems, canary analysis — and have strong opinions about what "verified" means.
  • Have run high-stakes releases: served as a launch captain, incident commander, or release owner for systems where a bad deploy has real consequences, and are energized rather than drained by being in the critical path.
  • Have meaningful on-call experience for production systems, including incident response and postmortem-driven improvements — and a track record of turning (and fixing!) postmortem action items into process and tooling changes.
  • Have a desire to close the gap where nobody has yet raised their hand, even if it requires manually hand-holding processes until automation and tooling can be built.
  • Have hands-on experience deploying and operating on cloud platforms (AWS, GCP) at scale.
  • Are proficient in Python; experience with Rust is a plus but not required.

Skills

Required:Production change managementLaunch coordinationOn-call / incident responseCloud platformsPython
Nice to have:Rust

Benefits

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Lovely office space in San Francisco (office-based role)
Last updated Sep 23, 2026. Interested? Apply on the company site.

About Anthropic

building reliable, interpretable, and steerable AI systems

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

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