M
Mirantis
Senior Storage Systems Engineer
Skills
AILinuxKubernetesTerraform
1 month ago
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Important information
Contract type:
Permanent
Location:
United States
Work mode:
Onsite
Published on:
9 September 2026
What they need
- The role is to deploy, integrate, and operate high-performance storage for GPU-accelerated compute and AI platforms
- You will own the storage layer where Kubernetes meets bare metal — standing up NFS-based high-performance storage, wiring it into clusters via CSI, and tuning it to keep data flowing to GPU workloads at scale
- Work spans hybrid, edge, and air-gapped deployments built on the Mirantis K0rdent stack
- We are looking for a senior systems engineer who treats storage as infrastructure to be automated, observed, and tuned — not hand-managed
- The right candidate is fluent in Kubernetes storage, deeply versed in Linux storage and networking fundamentals down to the kernel and NFS-client layer, and knows how to make high-performance NAS actually perform under demanding workloads
- You should reach for infrastructure-as-code and GitOps by default, be self-directed in diagnosing performance and reliability issues end to end, set operational standards for others to follow, and communicate clearly across teams
- Bare-metal hardware experience is a strong plus, but deep Linux storage knowledge is essential
- Storage Integration & Operation
- 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
- Linux Platform & System Integration
- 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
- Automation & Observability
- 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- 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 K8s storage fundamentals (NFS, CSI)
- 1+ years of experience integrating with or building High Performance Storage solutions (VAST, Weka, DDN, PowerScale)
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