Staff+ Software Engineer (Platform)

• We are looking for experienced software engineers to join our Platform organization
• 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 - either internally or by hundreds of thousands of external global users and companies at all stages
• You’ll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products
• You’ll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day
• We have multiple teams that are currently hiring
• Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs
• This flexible approach allows us to match talented engineers with the backend product efforts where they’ll have the greatest impact and growth potential
• Platform Acceleration: We work on maximizing the developer productivity of product engineers at Anthropic
• You’ll architect and optimize the critical development infrastructure that powers our AI product development, including dev environments, observability, and CI/CD pipelines
• You’ll partner closely with product teams to understand their development workflow and eliminate friction points
• Your work will have an extraordinary multiplier effect, enhancing productivity across our entire product organization and accelerating our mission
• Service Infra: we build and maintain the core infrastructure that powers Anthropic’s engineering organization, from service mesh and observability systems to deployment pipelines and shared libraries
• Our work enables product teams to build and operate reliable services at scale, making us a critical force multiplier across the entire company
• 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
• We create scalable solutions for user authentication, authorization, role-based access control, and single sign-on that form the backbone of our company’s identity management operations
• We maintain a user-centric approach, building reliable systems that our users and company can depend on as we tackle complex challenges at the intersection of security, scalability, and user experience
• 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
• We’re also the core contributors to the MCP spec — now an open standard under the Linux Foundation — and maintain the official Python and TypeScript SDKs
• You’ll 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
• We ship for claude.ai, Claude Code, Cowork, and the API
• Relevant experience includes OAuth, API gateways, multi-tenant platforms, building for enterprise, and MCP
• 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
• The Distributability 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
• 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
• We work closely with research on training methods and with agent platform teams on data paths
• Relevant experience: ML training infra, production ML pipelines, backend engineering
• Finetuning experience is a plus

Benefits

• Comprehensive health, dental, and vision insurance for you and your dependents
• Inclusive fertility benefits via Carrot Fertility
• 22 weeks of paid parental leave
• Flexible paid time off and absence policies
• Mental health support for you and your dependents
• Competitive salary and equity packages
• Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant
• Retirement plans with competitive matching
• Life and income protection plans
• $500/month flexible wellness and time saver stipend
• Commuter benefits
• Annual education stipend
• Home office stipends
• Relocation support for those moving for Anthropic
• Daily meals and snacks in the office

• Care about building systems that other engineers love to use
• Distributed systems, cloud-native products, developer tools, or external developer facing products
• Take full ownership of your work—from design through deployment and operations
• Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in 0 to 1 and more mature team or company settings
• Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to use
• You might be a good fit if you:
• Have experience with cloud infrastructure (GCP, AWS, or Azure), container orchestration (Kubernetes), and/or multi-cloud networking
• 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
• Have strong fundamentals in service-oriented architectures, networking, and systems design, ideally having owned both the technical vision and execution of a foundational platform system end to end
• Are proficient in Python, Go, Rust, or similar systems languages

• Deadline to apply: None. Applications will be reviewed on a rolling basis