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Staff Software Engineer, AI Reliability Engineering

Anthropic· Software Engineering - Infrastructure
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London, UK£325k - £390kPosted 8mo ago

About the role

Role focused on reliability engineering for Anthropic's AI systems, partnering across teams to improve reliability of Claude serving paths from SDK to infrastructure and accelerators, including incident response and cross-cutting system visibility.

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 providers
  • 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 -- reliability-minded software engineers and SREs.

Skills

Required:Distributed systemsReliability engineeringMonitoring and observabilityIncident responseCross-team collaboration and communication
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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