Description:

Design and build software for high-performance storage in GPU-accelerated compute and AI platforms.
Develop control-plane services, drivers, and tooling for Kubernetes-based workloads across various deployments.

Requirements:

7+ years of experience with Go in production systems.
5+ years of experience building distributed production systems at scale.
5+ years of Kubernetes experience with Infrastructure as Code.
Strong understanding of Linux and Kubernetes storage fundamentals (NFS, CSI).
Preferred: Proficiency in Python and experience with High Performance Storage for GPU/AI workloads.

Skills