24/7 Linux SRE & Bare-Metal Triage Engineer in Redmond

24/7 Linux SRE & Bare-Metal Triage Engineer in Redmond

Redmond Full-Time 56250 - 68750 $ / year (est.) On-site
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At a Glance

  • Tasks: Support 24/7 operations for large-scale AI environments and troubleshoot infrastructure issues.
  • Company: Join Quadrant Technologies, a leader in cutting-edge AI infrastructure.
  • Benefits: Competitive pay, flexible hours, and opportunities for skill development.
  • Other info: Exciting chance to work in a fast-paced, innovative environment.
  • Why this job: Be part of a dynamic team solving real-world tech challenges in AI.
  • Qualifications: Strong Linux skills and experience with bare-metal provisioning and Kubernetes.

The predicted salary is between 56250 - 68750 $ per year.

Quadrant Technologies is seeking a hands-on Linux Systems / Bare-Metal Infrastructure / SRE Triage Engineer to support 24/7 Follow-the-Sun infrastructure operations for large-scale AI/TPU superpod environments. The ideal candidate will have strong Linux administration, bare-metal provisioning, datacenter networking, Kubernetes, and infrastructure troubleshooting experience.

The primary responsibility is to rapidly identify and isolate hardware and software failures during automated machine operations.

24/7 Linux SRE & Bare-Metal Triage Engineer in Redmond employer: Quadrant Resource LLC

Quadrant Resource LLC offers a dynamic work environment focused on cutting-edge technologies in the AI and infrastructure sectors. Employees benefit from opportunities to work with large-scale AI/TPU superpod environments, enhancing their skills in Linux administration and infrastructure troubleshooting. The company promotes a culture of continuous learning and professional development, making it an attractive employer for tech enthusiasts.

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Contact Details:

Quadrant Resource LLC Recruitment Team

We think you need these skills to ace 24/7 Linux SRE & Bare-Metal Triage Engineer in Redmond

Linux Administration
Bare-Metal Provisioning
Datacenter Networking
Kubernetes
Infrastructure Troubleshooting
Automated Machine Failure Identification
SRE Practices