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 The IT Engineering team builds, secures, and maintains the systems and infrastructure that enable every team at Anthropic to do their best work. We're seeking an experienced engineer with deep expertise across IT domains—from endpoint management and identity systems to cloud infrastructure, networking, and SaaS security—who can help design, build, and maintain the tools and processes that enable and empower Anthropic employees. In this role, you'll work closely with Security, IT Operations, and Engineering to implement zero-trust architectures and defense-in-depth strategies that both enable the business and meet Anthropic's ambitious security objectives. You'll combine hands-on technical implementation with strategic planning and design, lead technical initiatives across multiple workstreams, mentor other engineers, and spearhead projects that enable Anthropic to scale even faster without compromising on security. You'll apply your experience to help mature foundational IT systems while pioneering innovative solutions unique to the challenges of a leading AI company. Your work will directly shape how we scale to AI Safety Level 4 and beyond. This role offers significant opportunities to define the future of IT. You'll build systems impacting every employee's daily experience while contributing directly to Anthropic's mission to develop safe, transformative AI. Responsibilities Design and implement secure IT infrastructure that scales with rapid growth Build automation frameworks that eliminate manual processes and enable self-service Lead technical initiatives spanning multiple teams and systems Implement robust security controls that maintain user productivity Drive architectural decisions through technical analysis and stakeholder input Establish engineering best practices and drive adoption across the team Create sustainable solutions for vulnerability management and compliance Mentor team members and continuously expand your own expertise Champion Infrastructure as Code and modern DevOps practices Constantly seek new ways to amplify and automate IT with Claude You may be a good fit if you Have 8+ years building secure IT systems in complex environments Excel at solving ambiguous problems with multiple stakeholders Make evidence-based technical decisions while considering diverse perspectives Communicate technical concepts clearly to any audience View IT Engineering as requiring product engineering rigor Successfully deliver complex projects from conception to production Balance strong technical opinions with pragmatic solutions Thrive when given ownership of challenging technical problems Write clear documentation as a natural part of your workflow Actively seek and incorporate feedback Strong candidates may also Have led initiatives requiring coordination across multiple teams Transformed traditional IT operations into engineering-driven organizations Built strong partnerships with Security and Engineering teams Excel at translating between technical and business requirements Have experience building consensus around technical standards Demonstrate both mentoring others and learning from peers Work effectively in distributed teams Technical Skills Python programming and/or advanced scripting experience Terraform and Infrastructure as Code AWS or GCP cloud platforms Identity protocols (SAML, OAuth, SCIM) Enterprise SaaS administration and security Identity and access management Configuration management tools Network security Modern MDM platforms Security frameworks and compliance Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is: $270,000 - $310,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

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. 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 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. How we're 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. We're 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. Apply for this job * indicates a required field First Name * Last Name * Email * Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf (Optional) Personal Preferences How do you pronounce your name? Website Publications (e.g. Google Scholar) URL Are you open to working in-person in one of our offices 25% of the time? * Select... When is the earliest you would want to start working with us? 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