Senior Software Engineer, Platform

About Anthropic

Anthropics 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 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.

This is a role for engineers who love working on hard infrastructure problems and building systems that are reliable scalable and elegant. Youll help define performance quality and standard for the company power the next gen of LLM-first products and redefine best-in-class developer experience.

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 platform efforts where theyll have the greatest impact and growth potential.

Platform Acceleration: We work on maximizing the developer productivity of product engineers at Anthropic. Youll architect and optimize the critical development infrastructure that powers our AI product development including dev environments observability and CI/CD pipelines. Youll 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 Anthropics 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. Were also the core contributors to the MCP spec now an open standard under the Linux Foundation and maintain the official Python and TypeScript SDKs. Youll 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 dont. We ship for 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 scalebut 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 Anthropics 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 customers 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.

You might be a good fit if you:

• Have a minimum of 6 years of practical experience building backend product or platform systemsdistributed systems cloud-native products developer tools or external developer facing products
• Have strong fundamentals in service-oriented architectures networking and systems design
• 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 workfrom 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.

Logistics

Minimum education: Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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. To protect yourself from potential scams remember that Anthropic recruiters only contact you some cases we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money fees or banking information before your first day. If youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

How were 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. Were 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.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits optional equity donation matching generous vacation and parental leave flexible working hours and a lovely office space in which to collaborate with colleagues. Guidance on Candidates AI Usage:Learn aboutour policyfor using AI in our application process