DevOps Jobs at Anthropic with Visa Sponsorship

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

The Corporate Infrastructure team builds and operates the platform layer the rest of IT Engineering runs on — cloud infrastructure hosting our internal services, the CI/CD that ships IT's own code, the observability stack across the corporate environment, and the cross-system automation that wires together tools never designed to talk to each other. You'll build deployment pipelines and internal tooling that let IT Engineering ship like a product team. You'll define SLOs for corporate services, build the monitoring to know when we're missing them, and run on-call for the things you deploy. You'll partner with our network and AV engineers as their infrastructure counterpart — automating physical-world systems, building the telemetry that tells us an office is degraded before someone files a ticket. The scope is broad and the team is deliberately small, which means you'll need depth across cloud, CI, and observability, strong judgment about where to invest, and a bias toward infrastructure-as-code over heroic manual fixes. You'll report into IT Engineering and partner closely with Security, Network Engineering, and the broader IT org on the systems they depend on. This role is high-autonomy: you'll own the infrastructure roadmap, make architecture decisions, and be the engineer the rest of IT builds on. Your work will directly shape how we scale to AI Safety Level 4 and beyond.

Responsibilities

- Build and operate the cloud infrastructure that hosts IT's internal services
- Design CI/CD pipelines that let IT Engineering ship through code review and automated testing
- Own observability for corporate infrastructure — monitoring, alerting, dashboards, and SLOs
- Write cross-system automation that connects tools never designed to talk to each other
- Partner with network and AV engineering as the infrastructure-automation counterpart
- Build internal tools — CLIs, bots, dashboards — that make other IT engineers faster
- Run on-call for corporate infrastructure with post-incident reviews that drive durable fixes
- Champion Infrastructure as Code — infrastructure deployed through repeatable patterns rather than heroic efforts

You may be a good fit if you
- Have 5+ years building secure IT systems in complex environments — or, for Staff-level: have led cross-team projects that changed how an organization operates
- Excel at solving ambiguous problems with multiple stakeholders
- Communicate technical concepts clearly to any audience
- View IT Engineering as requiring product engineering rigor
- Successfully deliver complex projects from conception to production
- Write clear documentation as a natural part of your workflow
- Have shipped Infrastructure as Code in production — Terraform or similar, with modules and state you maintained
- Have run services with SLOs, on-call rotations, and incident response and incident reviews
- Have built internal platforms or tooling that other engineers depend on

Strong candidates may also
- Have transformed traditional IT operations into engineering-driven organizations
- Have built strong partnerships with Security and Engineering teams
- Practice modern development methods (code reviews, testing, CI/CD)
- Work effectively in distributed teams
- Have experience with ECS, Kubernetes or other container orchestration for internal services
- Have automated physical-world infrastructure deployment (e.g., network configuration, office technology, physical security systems)
- Have worked with enterprise integration or workflow automation platforms (e.g., Workato, n8n, Tines, or custom-built equivalents)

Technical Skills

- Python, Go, or PowerShell — you write real automation, not one-off scripts
- Terraform and Infrastructure as Code
- AWS or GCP cloud platforms
- CI/CD pipeline design
- Observability tooling (e.g., Prometheus, Grafana, Datadog, Honeycomb, or equivalent)
- Linux systems administration
- Strong networking skills
- Configuration management

Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary

$275,000—$325,000 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.

Your safety matters to us.

To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In 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 you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

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.

Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.