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OS/K8s Systems Engineer
BasetenOS / 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 & technologiesGoKubernetesLinuxPython
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