Sr Staff Site Reliability Engineer, AI Infrastructure

What you'll do

• Operate and troubleshoot server fleets, lab clusters, cloud environments, and Kubernetes platforms; manage capacity and hardware lifecycle.
• Automate provisioning and operations with infrastructure-as-code, and build fleet health, remediation, monitoring, and self-service tooling.
• Participate in on-call incident response, produce RCAs, and support platform services with documented runbooks and uptime commitments.

What they ask for

• Bachelor's or Master's in Computer Science, Electrical Engineering, or a related field (or equivalent experience).
• Strong Linux and hands-on colocation or on-premises server infrastructure experience.
• Production experience with Terraform and/or Ansible, and operational Kubernetes experience.
• Observability tooling experience and production-quality Python and/or Bash scripting, with incident response experience.

Nice to have

• Experience operating customer-facing infrastructure and cloud/hybrid environments across AWS, Azure, or GCP.
• Production experience with AI-driven infrastructure tools, HPC schedulers, high-speed interconnects, or large-scale infrastructure automation.

Pay

$175K – $265K USD base salary

Tools

Linux, Terraform, Ansible, Kubernetes, Prometheus/Grafana, DataDog, Splunk, Python

AI focus

Contribute to AIOps-driven detection workflows; preferred experience includes production AI-driven infrastructure tools such as intelligent alerting, anomaly detection, or LLM-assisted diagnostics.