AI Storage Infrastructure Engineer - remote in the US

Description: Deploy, integrate, and operate high-performance storage for GPU-accelerated compute and AI platforms. Own the storage layer where Kubernetes meets bare metal, focusing on NFS-based high-performance storage and tuning for GPU workloads. Requirements: 7+ years of experience in SRE or hardware/storage infrastructure operations. 5+ years of experience building/operating distributed production storage systems at scale. 7+ years of experience in Linux and Kubernetes storage fundamentals (NFS, CSI). 1+ years of experience integrating with or building high-performance storage solutions (e.g., VAST, Weka, DDN, PowerScale). Benefits: Work with a leading Silicon Valley company in cloud infrastructure. Engage with passionate colleagues and help Fortune 500 and Global 2000 customers. Participate in cutting-edge open-source innovation and professional development opportunities. Enjoy a competitive compensation package with a strong benefits plan.