IT Systems Engineer, Corporate Systems & Infrastructure

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

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 ITs 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.

Youll build deployment pipelines and internal tooling that let IT Engineering ship like a product team. Youll define SLOs for corporate services build the monitoring to know when were missing them and run on-call for the things you deploy. Youll 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 youll need depth across cloud CI and observability strong judgment about where to invest and a bias toward infrastructure-as-code over heroic manual fixes.

Youll 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: youll 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 ITs 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 to integrate third-party systems and internal services
• Partner with network audiovisual and physical security to deliver robust infrastructure solutions
• 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
• Deploy infrastructure as code

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
• 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 post-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 equivalents)

Technical Skills

Were looking for deep hands-on experience in each of these not surface familiarity:

• Python golang etc
• Terraform and Infrastructure as Code
• Cloud platforms (AWS GCP Azure)
• 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.

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