Staff+ Software Engineer, Platform Distribution

Anthropic; San Francisco (CA); Hybrid; USD 405,000 - 485,000; Full time

Job summary

Anthropic is seeking a seasoned backend/platform engineer to advance the Claude Platform across cloud providers (AWS, GCP, Azure) and Anthropic's own infrastructure. You will lead enterprise-ready features, drive cross-cloud integrations, and collaborate with Infrastructure, Systems, Networking, and Data teams to scale the platform.

You will own large-scale infrastructure projects, ensure security and compliance, and partner with CSPs to deliver a dependable, scalable service for regulated

Qualifications

• 8+ years of practical backend/platform engineering experience.
• Experience leading cross-team technical projects.
• Experience with cloud providers at scale and security/compliance or data residency.

Responsibilities

• Build and ship enterprise-grade cloud-native features for cross-cloud deployments.
• Collaborate with Infrastructure, Systems, Networking, and Data teams.
• Drive security, compliance, and data residency considerations.

Skills

Distributed systems

Platform engineering

Cloud infrastructure

Python

Go

Rust

Education

Bachelor's degree

Job description

About Anthropic

Anthropic’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 Claude Platform is growing rapidly and serves developers and enterprises at scale. Reaching the next tier of enterprise customers requires transforming how and where we deploy it, as well as the set of features we support out of the box. The Distribution team owns that transformation: making the Claude API a cloud-native, managed product that runs wherever our customers need it, cross-cloud and on Anthropic's own infrastructure, with the enterprise-grade security, compliance, and operational capabilities to support it. This work is split across to major workstreams that are covered in the next section, and we need your help across both.

What you'll do

Claude Platform on the Clouds: You will make the Claude Platform a best in class offering on the Cloud Service Provider’s platform (AWS, GCP, Azure), by bringing our API, control plane and Anthropic features through the provider’s front door. You’ll do cross-cutting work across the clouds and also have the opportunity to go deeper with CSPs on native integrations across a range of deep technical problems at unprecedented scale. You’ll get to collaborate across the company with teams such as Infrastructure, Systems, Networking, Databases, Inference and more.

Enterprise Readiness: You’ll make our platform even more suitable for Enterprise, shipping next gen enterprise enablement features that unblock our next wave of regulated customers or enable our existing ones to scale further. You’ll do so in an Enterprise SaaS context, with a specific focus on enterprise growth, security and compliance, with features ranging from key management & encryption, audit APIs, usage visibility, access control, and international data residency. You’ll also partner closely with core teams across the company, as well as collaborate with CSPs to make these available on our cloud platforms.

You Might Be a Good Fit If You

• Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent
• Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to adopt by our customers
• Own large-scale infrastructure systems and lead ambiguous, cross-team technical projects from design through production and can do so independently.
• Have experience with cloud infrastructure (GCP, AWS, or Azure) at scale and/or Enterprise SaaS experience in a multi-tenant context, with background in security, compliance or data residency for regulated or sovereign cloud environments.
• Take full ownership of your work—from design through deployment and operations
• Are proficient in Python, Go, Rust, or similar systems language

Location Preference

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

The annual compensation range for this role is listed below.

Annual Salary

$405,000—$485,000 USD

Logistics

Minimum 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.

How We're Different

We believe that the highest-impact AI research will be big science. At Anthropic 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 work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Guidance on Candidates' AI Usage

Learn about our policy for using AI in our application process.