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Baseten

OS/K8s Systems Engineer

Baseten

OS / K8s Systems Engineer building automation for AI production at Baseten. Focused on software layer for scalable infrastructure across data centers.

Posted 5/2/2026full-timeSan Francisco • California • 🇺🇸 United StatesMid-LevelSenior💰 $165,000 - $330,000 per yearWebsite

Tech Stack

Tools & technologies
GoKubernetesLinuxPython

About the role

Key responsibilities & impact
  • Own the end-to-end automation of cluster bring-up and lifecycle management.
  • Build and maintain OS images, provisioning systems, and configuration pipelines.
  • Deploy and operate cluster orchestration platforms (Kubernetes, Slurm, or similar).
  • Design systems for reproducibility across sites and hardware generations.
  • Automate upgrades, rollouts, and failure recovery.
  • Optimize system performance, including GPU utilization and networking.
  • Partner with hardware and network teams to validate and improve system behavior.

Requirements

What you’ll need
  • Experience building and operating automated infrastructure systems.
  • Strong programming skills (e.g., Python, Go, or similar).
  • Deep familiarity with Linux systems, including boot processes, drivers, and performance.
  • Experience with provisioning systems (PXE, imaging, configuration management).
  • Experience with Kubernetes.
  • Strong debugging skills across system layers (hardware → OS → network).
  • Experience working with GPU or high-performance workloads is a plus.

Benefits

Comp & perks
  • Competitive compensation, including meaningful equity
  • 100% coverage of medical, dental, and vision insurance for employee and dependents
  • Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
  • Paid parental leave
  • Fertility and family-building stipend through Carrot
  • Company-facilitated 401(k)
  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

ATS Keywords

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Hard Skills & Tools
automationcluster managementOS imagesprovisioning systemsconfiguration pipelinesKubernetesLinux systemsdebuggingGPU utilizationhigh-performance workloads