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Anthropic is seeking an experienced Infrastructure Architect in the US to lead the technical strategy and roadmap for developer productivity within the Infrastructure organization. You will define architecture, design scalable systems, and collaborate across research and production teams to enable reliable, high-volume workloads.
Strong candidates will excel with Python, Rust, and/or Go, CI/CD pipelines, and large monorepo environments, while improving developer workflows and tooling.
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.
Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.
Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale — from the source control and language ecosystems that underpin our monorepo, to the build and CI infrastructure that keeps thousands of daily builds running reliably across multiple cloud providers, to the developer acceleration tooling that deeply integrates Claude into engineering workflows.
Team Matching is determined after the interview process based on interview performance, interests, and business priorities. Please note we may also consider you for different Infrastructure teams.
Annual Salary: $405,000 - $625,000 USD
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.
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.
We do not conduct LeetCode‑style interviews here. Our coding interviews are designed to reflect the kind of work you'd actually do on the job, so please pick the language you know best and feel most confident in.
We invite you to review our AI partnership guidelines for candidates and confirm your understanding by selecting “Yes.”
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We believe this will have a transformative impact on the world, and we’re seeking exceptional candidates who collaborate thoughtfully with Claude. At the same time, we want to understand your unique skills, expertise, and perspective through our hiring process.
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Note: we do NOT do LeetCode‑style interviews here. Our coding interviews are designed to reflect the kind of work you'd actually do on the job, so please pick the language you know best and feel most confident in.