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Staff + Sr. Software Engineer, Cloud Inference

Anthropic· Software Engineering - Infrastructure
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San Francisco, CA, Seattle, WA$320k - $485kFull-timePosted 3w ago

About the role

Back-end engineer role focusing on building and operating Claude on multiple cloud providers (AWS, GCP, Azure, and future CSPs). Owns end-to-end cloud inference stack across platforms, emphasizing scalable, reliable, and cost-efficient services with strong cross-functional collaboration.

Responsibilities

  • Design, build, and own backend services and infrastructure that serve Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models
  • Work cross-functionally with internal inference, product API, systems, and security teams, among others, and with CSP partners to stand up the full serving stack on new cloud platforms, resolve operational issues, and influence provider roadmaps
  • Build and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions
  • Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity
  • Contribute to capacity planning, autoscaling, and workload routing strategies that match supply with demand and direct requests to the most cost-effective accelerator and region
  • Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads

Qualifications

  • Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users
  • Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration
  • Are curious about LLM serving; prior inference or ML experience is not required
  • Thrive in cross-functional collaboration with both internal teams and external partners
  • Have experience working with external partners to align goals and deliver impact
  • Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems
  • Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description

Skills

Required:Software engineering (high-performance, large-scale distributed systems)Cloud platform experience (AWS, GCP, or Azure)Cross-functional collaborationAutonomy and ownership

Benefits

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Office space for collaboration
Last updated Sep 30, 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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