Staff+ Software Engineer, Platform San Francisco, CA | New York City, NY | Seattle, WA

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 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. What you’ll do 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. 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. Billing Platform: Anthropic exists to ensure the world safely navigates the transition through transformative AI. That work is funded by commercial revenue — and every dollar of it runs through Billing Platform. We build and operate the infrastructure that turns product usage into revenue across everything Anthropic ships: Claude.ai, the Developer Platform, Claude Code, and whatever comes next. The faster we can price it and account for it correctly, the faster Anthropic can fund the mission. Depending on where you land, you might be building the integration contracts that product teams plug into so they can launch a paid SKU without becoming billing experts, automating the quote‑to‑cash lifecycle so enterprise deals don’t bottleneck on manual ops, or building the reconciliation and data foundations that keep every revenue number trustworthy at audit time. This is production‑critical infrastructure where correctness is non‑negotiable — a rounding error here is a revenue discrepancy somewhere else — and you’ll work closely with Finance, Product, Sales, and Accounting to build systems that scale with the business. 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 Have experience in distributed systems, cloud‑native products, developer tools, or external developer‑facing products 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 Have 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, 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 Care about building systems that other engineers love to use Deadline to apply: None. Applications will be reviewed on a rolling basis. Location preference: 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 $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. 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. As set forth in Anthropic’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. #J-18808-Ljbffr Anthropic