Build automation and systems to provision and orchestrate GPU hardware into scalable Kubernetes clusters. Requires deep Linux expertise, provisioning experience, and strong programming in Python/Go.
165k – 330k/yr
HybridDevOps / SRE
About the role
Responsibilities
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
Experience building and operating automated infrastructure systems.
Strong programming skills (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.
Infrastructure Engineer responsible for securing, scaling, and maintaining cloud architecture, Kubernetes clusters, ML pipelines, and CI/CD systems at a computer vision AI startup. Must have production Kubernetes, IaC, and AWS/GCP experience.
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