Note: The job is a remote job and is open to candidates in USA. TensorWave is a company focused on delivering seamless and resilient AI compute at scale. They are seeking a Storage Platform Infrastructure Engineer to ensure storage systems are stable and performant, supporting Kubernetes and high-performance workloads while collaborating with cross-functional teams.
Responsibilities
- 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
- Monitor and maintain storage health, including capacity utilization, data distribution and balance, cluster state and recovery operations
- 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
- 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
- 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
- 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
Skills
- 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
- 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
Benefits
- Stock Options
- 100% paid Medical, Dental, and Vision insurance for Employees
- Company Health Savings Account Contributions
- 100% paid Short Term and Long Term Disability Insurance for Employees
- Life and Voluntary Supplemental Insurance Options
- Other Insurance Options, such as Pet & Legal Insurance
- Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support
- Flexible Spending Account
- 401(k)
- Employee Assistance Program
- Flexible PTO
- Paid Holidays
- Parental Leave
- Other In-Office Perks
Company Overview