Staff Infrastructure Engineer – Storage Platform

Responsibilities

• Design and evolve storage architectures supporting Kubernetes and high-performance AI/ML workloads
• Own production storage platforms, including Ceph (RBD, CephFS, RGW) and high-performance NAS
• Lead lifecycle operations including cluster deployment, scaling, upgrades, and migrations
• Analyze storage performance across IOPS, throughput, and latency to resolve bottlenecks
• Implement Kubernetes storage patterns, including CSI drivers and StorageClasses
• Automate storage deployment and configuration using tools like Ansible and Terraform
• Serve as the technical authority for storage and mentor engineers on storage systems

Requirements

• 7+ years of experience in infrastructure, storage, or distributed systems
• Deep hands-on experience with distributed storage systems in production environments
• Strong expertise with Ceph (RBD, CephFS, and/or RGW)
• Experience with high-performance storage platforms such as Weka, VAST Data, or similar
• Strong Linux systems expertise and understanding of distributed system design principles
• Ability to troubleshoot across storage, network, and compute layers

Preferred Qualifications

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

Benefits

• Stock Options
• 100% paid Medical, Dental, and Vision insurance
• 401(k) and Flexible Spending Account
• Flexible PTO and Paid Holidays
• Parental Leave
• Company Health Savings Account contributions

About the Company

TensorWave delivers seamless, secure, reliable, and resilient AI compute at scale. We have built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack.