Staff+ Software Engineer, Platform Portability

United States Digital Space LLC; Washington; On-site; USD 405,000 - 485,000; Full time

Job summary

United States Digital Space LLC is seeking an experienced Platform Portability Engineer to design portable cloud infrastructure and ship Claude across partner clouds. You will collaborate with Compute, Inference, and Security teams to ensure cross-provider consistency and scalable deployment patterns.

You’ll lead abstraction work for storage, messaging, and networking, and own end-to-end delivery including build, release, and validation pipelines.

Qualifications

• 8+ years building and operating production distributed systems.
• Experience running workloads across multiple cloud providers.
• Proficiency with Kubernetes and Infrastructure as Code.
• Ability to collaborate with cloud providers and internal teams.

Responsibilities

• Design and build portable infrastructure abstractions for storage, messaging, and connectivity across clouds.
• Own end-to-end delivery, build, release, and validation pipelines for Claude on partner clouds.
• Mentor engineers, review cloud-portability designs, and drive cross-cloud patterns.
• Contribute to on-call rotations, postmortems, runbooks, and incident response.

Skills

Distributed systems

Multi-cloud

Kubernetes

Infrastructure as Code

Terraform

Pulumi

Security & compliance

Cross-team collaboration

Education

Bachelor’s degree or equivalent

Tools

Kubernetes

Terraform

Pulumi

Job description

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.

About the role

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.

What you’ll do

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

Portable infrastructure.

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.

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.

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.

You might be a good fit if:

• 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

Location Preference

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

Annual compensation range

The annual compensation range for this role is listed below.

Annual Salary

$405,000—$485,000 USD

LogisticsMinimum education:

Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study:

A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience:

Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy:

Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship:

We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification.

Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us.

How we're different

We believe that the highest-impact AI research will be big science. At the company we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than