Senior AI Storage Engineer — Kubernetes & NFS

Mirantis; Northern (KY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Mirantis is seeking a senior AI storage infrastructure engineer to deploy, integrate, and operate high-performance NFS-based storage for GPU-accelerated compute and AI platforms across hybrid, edge, and air-gapped environments.

You will own the storage layer where Kubernetes meets bare metal, using CSI and storage classes, and push toward IaC and GitOps with Terraform/OpenTofu and ArgoCD/Flux.

Qualifications

• 7+ years of experience in SRE or hardware/storage infrastructure operations.
• 5+ years building/operating distributed production storage at scale.
• 7+ years Linux and Kubernetes storage fundamentals (NFS, CSI).
• 1+ year 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.
• Automate storage provisioning and configuration with infrastructure-as-code (Terraform/OpenTofu) and GitOps pipelines (ArgoCD or Flux).
• Build monitoring, alerting, and observability for storage performance, capacity, and health.
• Diagnose and resolve performance, reliability, and scaling issues across the storage stack.

Skills

SRE experience

Linux storage

Kubernetes storage

Distributed storage

Tools

VAST

Weka

DDN

PowerScale

Job description

Mirantis is seeking a senior AI storage infrastructure engineer to deploy, integrate, and operate high-performance NFS-based storage for GPU-accelerated compute and AI platforms across hybrid, edge, and air-gapped environments.

You will own the storage layer where Kubernetes meets bare metal, using CSI and storage classes, and push toward IaC and GitOps with Terraform/OpenTofu and ArgoCD/Flux.