Looking for a role with plenty of growth opportunities? Join a rapidly scaling AI cloud infrastructure provider building next-generation GPU platforms for large-scale AI training, experimentation, and inference, significantly expanding operations across the United States alongside continued international growth. This is a great opportunity for a Senior Storage Engineer to take ownership of the high-performance storage layer underpinning large GPU clusters and AI workloads at scale. The ideal candidate will work closely with infrastructure, networking, and platform engineering teams to design and optimize storage environments capable of supporting massive throughput, low latency, and highly parallelized AI training workloads. Don't miss out on this exciting opportunity and apply today! Responsibilities: • Design, deploy, and operate large-scale high-performance storage platforms supporting AI and HPC workloads • Manage and optimize distributed storage environments for large GPU training and inference clusters • Work closely with platform, compute, and networking teams to ensure end-to-end infrastructure performance • Troubleshoot storage bottlenecks, latency issues, throughput constraints, and data flow inefficiencies • Contribute to storage architecture strategy, scalability planning, and operational best practices • Automate storage provisioning, monitoring, and lifecycle management processes • Support performance tuning across parallel file systems, object storage, and AI data pipelines • Implement observability and capacity planning solutions for petabyte-scale environments Skills/Must Have: • Deep experience in storage engineering within HPC, AI infrastructure, hyperscale, or large-scale data center environments • Deep hands-on expertise with VAST Data storage platforms strongly preferred • Strong understanding of high-performance distributed storage architectures and parallel file systems • Experience supporting GPU-intensive AI/ML workloads and high-throughput data environments • Strong Linux systems administration skills • Experience troubleshooting performance across storage, networking, and compute layers • Familiarity with NFS, RDMA, NVMe-oF, InfiniBand, and modern storage networking concepts • Automation and scripting experience using Python, Bash, or Ansible preferred • Strong understanding of scalability, resiliency, and data protection in enterprise storage environments Benefits: • Stock options • Remote working options and allowance Salary: • Circa $200,000 base salary