You'll be instrumental in ensuring high availability, fault tolerance, and performance across internal research and external customers' GPU cluster environments. Responsibilities include automating GPU cluster onboarding, enhancing monitoring, logging, and security systems, and developing new backend features.
Numbers & Facts
Location
San Francisco, CA
Salary
$100,000–$200,000 Per Year
Description
This hybrid role spans across platform reliability and infrastructure engineering. You'll be instrumental in ensuring high availability, fault tolerance, and performance across internal research and external customers' GPU cluster environments. Responsibilities include automating GPU cluster onboarding, enhancing monitoring, logging, and security systems, and developing new backend features. Required Skills and Certifications:
Proven experience with monitoring tools (e.g., Prometheus, Grafana) and incident management practice.
Strong skills in infrastructure automation with Ansible, Terraform, or similar.
Deep understanding of logging frameworks, alerting systems, and proactive monitoring solutions.
Proficiency in Python for developing automation scripts, REST APIs, and backend support tools.
Hands-on experience with Kubernetes and cloud platforms (GCP preferred).
Knowledge of high-performance networking and real-time systems.