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Staff Software Engineer, AI Reliability

Anthropic· Software Engineering - Infrastructure
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Hybrid (San Francisco, CA), Hybrid (New York City, NY), Hybrid (Seattle, WA)$325k - $485kNot specifiedPosted 8mo ago

About the role

Role within Anthropic's AI Reliability Engineering (AIRE) team focused on improving reliability across large-scale AI serving systems, incident response, and cross-team reliability initiatives for Claude.

Responsibilities

  • Develop appropriate Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity
  • Design and implement monitoring and observability systems across the token path
  • Assist in the design and implementation of high-availability serving infrastructure across multiple regions and cloud provider
  • Lead incident response for critical AI services, ensuring rapid recovery, thorough incident reviews, and systematic improvements
  • Support the reliability of safeguard model serving -- critical for both site reliability and Anthropic's safety commitments

Qualifications

  • Strong distributed systems, infrastructure, or reliability backgrounds
  • Curious and brave, able to handle unfamiliar systems during incidents
  • Holistic systems thinking to identify seams
  • Ability to build lasting cross-team relationships
  • Ownership mindset and user-focused outcomes
  • Excellent communication and collaboration skills
  • Diverse experience across product stacks, scaled databases, and large distributed systems

Skills

Required:Distributed systemsIncident responseObservability and monitoring

Benefits

  • Competitive compensation (see compensation section)
  • Flexible working hours
  • Generous vacation and parental leave
  • Optional equity donation matching
  • Lovely office space in San Francisco, CA (office locations listed)
Last updated Jul 8, 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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