Software Engineer, Platform Portability

About the company

the company’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

the company 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 the company 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.

Our work splits into two work streams, and we need your help across both.

We build the provider-agnostic abstractions for storage, messaging, and connectivity that let the company'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.

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.

Across both, you'll shape how the rest of the company builds for multiple clouds. You'll review designs with cloud-portability implications, mentor engineers across the org on multi-cloud patterns, and bring internal stakeholders into alignment through clear writing and conversation. You'll also take your turn in the on-call rotation, and you'll design the postmortems, runbooks, and incident response that help us never fail the same way twice.

• Have a minimum of 8 years of practical experience building and operating production distributed systems
• 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
• Write production code in at least one general-purpose programming language (e.g., Python, Go, or Rust)
• 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 the company's mission to build safe, beneficial AI

Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.

The annual compensation range for this role is listed below.

$405,000—$485,000 USD