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 are building and operating large-scale infrastructure platforms to support high-performance AI and machine learning workloads across multiple data centers. Our environment includes GPU-intensive systems, high-throughput networking, and distributed storage platforms designed for performance, scale, and resilience.
We are looking for a Storage Operations Engineer to own the day-to-day operation, performance, and reliability of our storage platforms. This role is responsible for ensuring that storage systems remain stable, performant, and aligned with the demands of Kubernetes, AI/ML, and high-performance compute workloads.
This is not a traditional SAN/NAS administration role. You will work with modern distributed storage systems and be expected to troubleshoot, optimize, and scale them in production environments.
What You’ll Do
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
Who You Are
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)
Experience with modern storage platforms such as:
Weka, VAST Data, or similar high-performance systems
Strong Linux systems knowledge
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
What We Offer
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
Equal Employment Opportunity
TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.
Reasonable Accommodations
TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.
Employment Eligibility
All offers of employment are contingent upon verification of identity and authorization to work in United States, as required by law.
Background Checks
Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.
Data Privacy Notice
By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.