Site Reliability Engineer

San Francisco, CA, United States

We are looking for a Site Reliability Engineer who will ensure the high availability and performance of our Kubernetes clusters that power machine learning research and services.

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. Responsibilities: Own Kubernetes clusters with thousands of nodes

Troubleshoot and resolve issues across the stack, from networking to applications

Improve monitoring, alerting, and incident response

Automate operations and infrastructure management

Partner with ML researchers and engineers to meet their infrastructure needs

Tune autoscaling and resource allocation for ML jobs

Build fault-tolerance into infrastructure to handle node failures

Monitor clusters and set up alerts/on-call playbooks

Migrate cloud deployments to Kubernetes using Terraform

You may be a good fit if you: Have significant experience with Kubernetes and cloud-native infrastructure

Have a DevOps/SRE mindset: you enjoy debugging complex systems and automating solutions

Have strong communication skills to work with a range of technical and non-technical colleagues

Have an interest in the societal impacts of ML and a commitment to building robust, reliable systems

Strong candidates may also have: Cloud infrastructure on AWS/GCP

Terraform/Infrastructure as Code

Monitoring/alerting tools like Prometheus/Grafana

Python and Linux SysAdmin skills

Significant experience with Kubernetes architecture and administration

Strong Linux skills and cloud infrastructure expertise

Familiarity with networking, caching, and storage optimizations

Track record of building resilient, scalable systems

Comfort debugging complex, distributed systems

Excellent communication and collaboration skills

Annual Salary (USD) The expected salary range for this position is $280k - $485k.

Logistics Location-based hybrid policy: Currently, we expect all staff to be in our office at least 25% of the time.

Deadline to apply : None. Applications will be reviewed on a rolling basis.

US visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, 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.

Compensation and Benefits* Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

US Benefits - The following benefits are for our US-based employees: - Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant. - Comprehensive health, dental, and vision insurance for you and all your dependents. - 401(k) plan with 4% matching. - 21 weeks of paid parental leave. - Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more! - Stipends for education, home office improvements, commuting, and wellness. - Fertility benefits via Carrot. - Daily lunches and snacks in our office. - Relocation support for those moving to the Bay Area.

UK Benefits - The following benefits are for our UK-based employees: - Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant. - Private health, dental, and vision insurance for you and your dependents. - Pension contribution (matching 4% of your salary). - 21 weeks of paid parental leave. - Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more! - Health cash plan. - Life insurance and income protection. - Daily lunches and snacks in our office.

* This compensation and benefits information is based on Anthropic’s good faith estimate for this position as of the date of publication and may be modified in the future. Employees based outside of the UK or US will receive a different benefits package. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

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. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

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 based 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.

Candidate Privacy Policy US Candidate Privacy Policy UK Employee and Candidate Privacy Policy

#J-18808-Ljbffr