About the job
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.
Responsibilities
Design and build provider-agnostic abstractions for storage, messaging, and connectivity that let Anthropic's systems run on any cloud at the scale of frontier model inference.
Build tooling that lets internal teams provision, configure, and operate services across clouds through one consistent interface.
Own end-to-end delivery of Claude onto third-party cloud platforms, including build, release, and validation pipelines.
Work directly with engineering teams at cloud partners and internal infrastructure stakeholders to land features, debug platform issues, and influence roadmaps.
Review designs with cloud-portability implications, mentor engineers on multi-cloud patterns, and align internal stakeholders through clear writing and conversation.
Participate in on-call rotation and design postmortems, runbooks, and incident response processes.
Qualifications
Minimum
Have a minimum of 8 years of practical experience building and operating production distributed systems
Write production code in at least one general-purpose programming language (e.g., Python, Go, or Rust)
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Preferred
Own large-scale infrastructure systems and lead ambiguous, cross-team technical projects from design through production
Run the same production workload across multiple cloud providers, including the migration or abstraction work that made it possible
Understand how cloud IAM models and networking primitives (VPC peering, private connectivity, service mesh) differ across providers
Work confidently with Kubernetes and Infrastructure as Code (e.g., Terraform, Pulumi)
Understand ML infrastructure and supporting interconnects
Ship software through hyperscaler marketplaces or managed-model platforms
Bring a background in security, compliance, or data residency for regulated or sovereign cloud environments
Care about the societal impacts of your work and Anthropic's mission to build safe, beneficial AI