Staff Plus Software Engineer (Platform Portability)

About this role

- Anthropic trains and serves Claude across multiple cloud providers and accelerator platforms. The Platform Portability team owns the abstractions, tooling, and deployment infrastructure that make this possible without every engineering and research team needing to become experts in different clouds
- As an engineer on Platform Portability, you’ll design and build the systems that let us bring up new capacity, ship our platform to cloud provider platforms & marketplaces, and move workloads between providers with confidence
- You’ll work closely with our cloud partners on capabilities we need that don’t exist yet, and with internal Compute, Inference, and Security teams to make “which cloud is this running on?” a question most engineers at Anthropic never have to ask. Your work directly determines how quickly and reliably we can put safe, frontier AI in front of users — wherever they are
- Portable infrastructure. We build the provider-agnostic abstractions for storage, messaging, and connectivity that let Anthropic’s systems run on any cloud, and they have to hold up at the scale of frontier model inference. You’ll design and build those abstractions, plus the tooling that lets internal teams provision, configure, and operate services across clouds through one consistent interface
- You’ll also hunt down the provider-specific assumptions hiding in our codebase and set the patterns that keep new ones from creeping in
- Claude on partner clouds. We ship Claude onto third-party cloud platforms, and every launch has to be repeatable
- You’ll own that delivery end to end, including the build, release, and validation pipelines behind it. You’ll work directly with engineering teams at our cloud partners and internal infrastructure stakeholders to land the features we need, debug platform issues, and influence their roadmaps. Expect to go deep on native integrations with each provider, and to do the cross-cutting work that keeps our platform consistent across all of them
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