Description
About the role
We are looking for software engineers to join our Platform organisation. We build the foundational primitives that accelerate product development across Anthropic, and own infrastructure and systems that teams depend on to ship reliably and at scale.
Responsibilities
- Architect and optimise the critical development infrastructure that powers our AI product development, including dev environments, observability, and CI/CD pipelines.
- Partner closely with product teams to understand their development workflow and eliminate friction points.
- Work on problems where reliability and enterprise trust are the bar: token refresh at scale, admin controls that let IT govern what agents can do, proxy infrastructure that stays up when partner servers don't.
Platform Acceleration
We work on maximising the developer productivity of product engineers at Anthropic. You'll help define performance quality and standard for the company, power the next gen of LLM-first products, and redefine best-in-class developer experience.
Service Infra
We build and maintain the core infrastructure that powers Anthropic's engineering organisation, from service mesh and observability systems to deployment pipelines and shared libraries.
Multicloud
We build and maintain the infrastructure that enables Anthropic to operate across multiple cloud providers. We focus on cloud-agnostic tooling, cross-cloud networking, and multi-region deployments.
Auth & Identity
We build and maintain the critical infrastructure that powers identity and authentication across Anthropic's product suite. We work closely with product teams, security, support, and trust & safety as customers.
Connectivity
Our mission is to make Claude the most connected AI. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated.
API Distributability
The Claude API today is a rapidly growing platform serving developers and enterprises at scale,but reaching the next tier of enterprise customers requires transforming how and where we deploy it.
Platform Intelligence
We build the training systems that adapt Claude to specific customer workloads. The core problem is task-specific adaptation: getting the right intelligence, cost, and latency profile for a particular use case, and building toward systems where that adaptation can deepen as the customer's usage grows.
Requirements
- A minimum of 5 years of practical experience building backend product or platform systems,distributed systems, cloud-native products, developer tools, or external developer facing products.
- Strong fundamentals in service-oriented architectures, networking, and systems design.
- Proficiency in Python, Go, Rust, or similar systems languages.
- Experience with cloud infrastructure (GCP, AWS, or Azure), container orchestration (Kubernetes), and/or multi-cloud networking.
- Take full ownership of your work,from design through deployment and operations.
- Can navigate ambiguity and make sound technical decisions independently,
Benefits
- Annual compensation range: $320,000-\$320,000 USD
- 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.
- Visa sponsorship: We do sponsor visas!