Senior Site Reliability Engineer (Asia/Oceania)

We're looking for a self-motivated Site Reliability Engineer to join our team in Asia/Oceania. This remote-only role will let you work independently to maintain and scale Kubernetes clusters powering machine learning workloads.​You'll have a high degree of autonomy optimizing Kubernetes infrastructure for large-scale ML jobs.

Representative projects include:

• Own Kubernetes clusters with thousands of nodes across multiple regions/clouds
• Tune autoscaling and resource allocation for ML jobs with minimal oversight
• Build highly fault-tolerant infrastructure to handle infrastructure failures
• Monitor clusters and set up alerts/on-call playbooks independently
• Migrate and manage cloud deployments using Terraform and Kubernetes

Ideal candidates have:

• Expertise with Kubernetes and cloud-native infrastructure
• A strong DevOps/SRE mindset: you're a self-starter who enjoys solving complex technical problems
• Excellent communication skills to work with global colleagues, despite lack of face-to-face interaction
• An interest in the societal impacts of ML and a track record of building robust, reliable systems

While not required, experience with the following would be a bonus:

• Cloud infrastructure on GCP, AWS or similarly scoped major Asian clouds (Alibaba Cloud, Tencent Cloud, etc.)
• Terraform/Infrastructure as Code
• Monitoring/alerting tools like Prometheus/Grafana
• Python and Linux sysadmin skills

This is a remote-only role, open to candidates located in Asia/Oceania timezones.​As the sole SRE for Asia, this role requires a high degree of independence and autonomy, as well as willingness to work non-standard hours when required to handle issues.
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.
Salary - The expected salary range for this position is $270k - $445k.
Equity -  Equity will be a major component of the total compensation for this position. 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.
Benefits - Benefits we offer include:- 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.
* This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. 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.
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Deadline to apply: None. Applications will be reviewed on a rolling basis.
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.
How we're differentWe 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, Mulitm