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← Anthropic

Staff+ Software Engineer, Platform Portability

Anthropic · San Francisco, CA | New York City, NY | Seattle, WA · San Francisco, CA

CHECKED 4H AGO

Frontier labonsitestaff$405k–$485k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build provider-agnostic abstractions letting Claude run on any cloud at scale.
  • Ship Claude onto partner clouds with repeatable delivery pipelines end to end.
  • Make 'which cloud is this on?' a question engineers never ask.

What they offer

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Lovely office space

Ideal candidate

A seasoned infrastructure leader who thrives on ambiguous, cross-team systems work and cares deeply about safe, beneficial AI. You love making complex multi-cloud platforms invisible to other engineers.

Requirements

  • Minimum of 8 years building and operating production distributed systems
  • Own large-scale infrastructure systems and lead ambiguous cross-team projects from design to production
  • Run the same production workload across multiple cloud providers including migration or abstraction work
  • Understand how cloud IAM models and networking primitives differ across providers
  • Write production code in at least one general-purpose programming language
  • Work confidently with Kubernetes and Infrastructure as Code
  • Understand ML infrastructure and supporting interconnects
  • Ship software through hyperscaler marketplaces or managed-model platforms
  • Background in security, compliance, or data residency for regulated or sovereign clouds
  • Care about societal impacts and Anthropic's mission to build safe, beneficial AI
  • Bachelor's degree or equivalent combination of education, training and experience
remote policy
At least 25% time in office, with some roles requiring more time
visa sponsorship
We do sponsor visas, but not for every role and every candidate

Lab profile

About Anthropic

AI safety company building reliable, interpretable and steerable frontier AI systems.

What they build

  • Claude
  • Claude API
  • Claude Code

Known for

  • AI safety and alignment
  • Model interpretability research
  • Frontier LLM development

Key facts

  • Founded in 2021
  • Headquartered in San Francisco, California
  • Backed by Amazon and Google
More about Anthropic →
Apply on the lab’s site ↗