Infrastructure Engineer – Storage Platform

About TensorWave

Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.

About The Role

We’re looking for a Storage Platform Infrastructure Engineer to join our team during an exciting phase of growth. In this role, you’ll be responsible for ensuring that storage systems remain stable, performant, and aligned with the demands of Kubernetes, AI/ML, and high-performance compute workloads, working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact.

What You’ll Do

• Platform Operations & Ownership
• Operate and maintain distributed storage platforms, including Ceph (RBD, CephFS, RGW), High-performance NAS platforms (e.g., Weka, VAST Data)
• Manage storage lifecycle operations - cluster expansion, upgrades and migrations
• Maintain storage health, including capacity utilization, data distribution and balance, cluster state and recovery operations
• Performance & Reliability
• Analyze and troubleshoot storage performance across IOPS, throughput, and latency (including tail latency)
• Identify and remediate bottlenecks across disk subsystems, network paths (including RDMA where applicable), client access patterns
• Support incident response and root cause analysis for storage-related issues
• Ensure storage platforms meet performance expectations for GPU and Kubernetes workloads
• Kubernetes Storage
• Operate and support Kubernetes-integrated storage - CSI drivers, StorageClasses, PersistentVolumes / PersistentVolumeClaims
• Troubleshoot storage-related issues in Kubernetes environments, including stateful workloads, performance inconsistencies, scheduling and provisioning failures
• Automation & Tooling
• Execute and improve automation for storage deployment and operations using Ansible, Terraform, Kubernetes manifests / Helm
• Contribute to improving monitoring and alerting, operational workflows, runbooks and documentation
• Cross-Team Collaboration
• Partner with DevOps and Platform Engineering (automation and orchestration), Network Engineering (high-throughput and RDMA networking), Compute / Virtualization teams
• Help ensure end-to-end performance across compute, network, and storage layers

Required Qualifications

• 4–7+ years of experience in infrastructure, systems, or storage operations
• Strong hands-on experience operating distributed storage systems in production
• Experience with Ceph (RBD, CephFS, or RGW)
• Strong Linux systems knowledge
• Experience with modern storage platforms such as: Weka, VAST Data, or similar high-performance systems
• Solid understanding of: Storage performance characteristics (IOPS, throughput, latency)
• Data replication and failure domains
• Ability to troubleshoot across: Storage systems, Network paths, Compute clients

Preferred Qualifications

• Experience supporting AI/ML or HPC workloads
• Familiarity with: NVMe-based storage architectures, RDMA or high-throughput Ethernet environments
• Experience integrating storage with Kubernetes
• Experience operating storage across multiple data centers
• Exposure to object storage and S3-compatible APIs