Senior Storage Systems Engineer - Kubernetes & GPU AI

Mirantis; United States; On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Competitive compensation

Job summary

Mirantis is hiring a senior systems engineer to deploy, integrate, and operate high-performance storage for GPU-accelerated AI platforms. You will own the storage layer where Kubernetes meets bare metal, standing up NFS-based storage and wiring it into clusters via CSI, with tuning for throughput and low latency.

You will work across hybrid, edge, and air-gapped deployments using the Mirantis K0rdent stack, emphasize infrastructure-as-code and GitOps, and automate provisioning, observability,

Qualifications

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

Responsibilities

• Integrate NFS-based high-performance storage (e.g., VAST, Dell PowerScale) into Kubernetes clusters via CSI, storage classes, and persistent volumes.
• Tune the NFS data path — mount options, nconnect/RDMA, Linux client, and network settings — 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 fully disconnected (air-gapped) environments, including local artifact/mirror connectivity (Harbor) and PKI/TLS considerations.

Skills

SRE experience

Storage infrastructure

Linux storage fundamentals

Kubernetes storage

High-performance storage

Tools

Terraform/OpenTofu

ArgoCD

Flux

Kubernetes CSI

Harbor

Job description

Mirantis is hiring a senior systems engineer to deploy, integrate, and operate high-performance storage for GPU-accelerated AI platforms. You will own the storage layer where Kubernetes meets bare metal, standing up NFS-based storage and wiring it into clusters via CSI, with tuning for throughput and low latency.

You will work across hybrid, edge, and air-gapped deployments using the Mirantis K0rdent stack, emphasize infrastructure-as-code and GitOps, and automate provisioning, observability,