Remote Senior Storage Systems Engineer — Kubernetes & AI

Mirantis; Northern (KY); Hybrid; USD 130,000 - 190,000; Full time

Benefits offered by this job

Competitive compensation package

Conferences & training

Professional development

Tech talks

Company outings

Job summary

Mirantis is seeking a Senior Storage Systems Engineer to deploy and operate high-performance storage for GPU-accelerated AI platforms. The role focuses on NAS/storage automation, CSI integration, and kernel-level tuning on bare-metal and hybrid deployments.

You will own the storage layer, automate provisioning with Terraform/OpenTofu and GitOps (ArgoCD/Flux), and ensure low-latency, scalable data paths in air-gapped, edge, and cloud environments.

Qualifications

• 7+ years of experience in SRE or hardware/storage infrastructure operations.
• 5+ years building/operating distributed production Storage systems at scale.
• 7+ years of experience in Linux and K8s storage fundamentals (NFS, CSI).
• 1+ yearsof 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

Kubernetes storage

Linux storage fundamentals

NFS/CSI

Infrastructure as code

GitOps

Tools

VAST

PowerScale

Weka

DDN

ArgoCD

Flux

Harbor

Terraform/OpenTofu

Job description

Mirantis is seeking a Senior Storage Systems Engineer to deploy and operate high-performance storage for GPU-accelerated AI platforms. The role focuses on NAS/storage automation, CSI integration, and kernel-level tuning on bare-metal and hybrid deployments.

You will own the storage layer, automate provisioning with Terraform/OpenTofu and GitOps (ArgoCD/Flux), and ensure low-latency, scalable data paths in air-gapped, edge, and cloud environments.