Senior Storage Systems Engineer: Kubernetes, NFS & GPU AI

Mirantis, Inc.; United States; Remote; USD 130,000 - 170,000; Full time

Job summary

Mirantis, Inc. in the United States seeks a Senior Storage Systems Engineer to own the storage stack for GPU-accelerated AI workloads. You will deploy and operate high-performance NFS storage integrated with Kubernetes via CSI, and tune data paths for throughput in hybrid, edge, and air-gapped environments.

The role requires deep Linux storage knowledge, Kubernetes storage fundamentals, and IaC/GitOps experience. Bare-metal expertise is a plus; remote work is supported.

Qualifications

• 7+ years of experience in SRE or hardware/storage infrastructure operations
• 5+ years of building/operating distributed production Storage systems at scale
• 7+ years of experience in Linux and Kubernetes storage fundamentals (NFS, CSI)
• 1+ year of experience integrating with or building High Performance Storage solutions (VAST, Weka, DDN, PowerScale)

Responsibilities

• Integrate NFS-based high-performance storage into Kubernetes clusters via CSI, storage classes, and persistent volumes.
• Tune the NFS data path for high-throughput, low-latency GPU/AI workloads.
• Deploy and operate storage services and operators; manage capacity, quotas, snapshots, and lifecycle.
• Configure and optimize Linux systems for storage workloads, including driver setup, file system layout, network tuning, and kernel parameter optimization.
• Deliver storage integration for k0s-based Kubernetes via Cluster API (CAPI) and K0rdent management/child cluster topologies.
• Operate storage in air-gapped environments, including local artifact/mirror connectivity (Harbor) and PKI/TLS considerations.

Skills

SRE / storage infra operations

Distributed storage systems

Linux storage fundamentals

Kubernetes storage fundamentals

High performance storage integration

Tools

CSI

NFS

PowerScale

VAST

Weka

DDN

Job description

Mirantis, Inc. in the United States seeks a Senior Storage Systems Engineer to own the storage stack for GPU-accelerated AI workloads. You will deploy and operate high-performance NFS storage integrated with Kubernetes via CSI, and tune data paths for throughput in hybrid, edge, and air-gapped environments.

The role requires deep Linux storage knowledge, Kubernetes storage fundamentals, and IaC/GitOps experience. Bare-metal expertise is a plus; remote work is supported.