Job Description
Overview
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.
About the Role
We are looking for a senior DevOps 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.
Responsibilities
1. 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.
2. 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.
3. 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.
Requirements
- 5+ years in DevOps, SRE, or infrastructure operations, with strong hands-on experience operating Kubernetes storage (CSI, persistent volumes, storage classes) in production.
- Linux Storage & Networking Core: Strong expertise in Linux storage and networking fundamentals (e.g., LVM, file systems, kernel tuning, network/storage drivers, and block device management).
- High-Performance NAS Expertise: Proven experience integrating, tuning, and operating NFS-based high-performance / NAS storage data paths.
- Automation & GitOps: Proficiency with infrastructure-as-code (Terraform/OpenTofu) and GitOps-driven configuration (ArgoCD or Flux).
- Scripting: Solid scripting/automation skills (Go, Python, Bash).
- Communication: Strong written and verbal communication with technical audiences.
Preferred
- Bare-Metal Experience: Hands-on experience with bare-metal host provisioning, raw disk/hardware layout, and physical server storage configurations.
- Hands-on experience with VAST and/or Dell PowerScale.
- Experience with GPUDirect Storage and RDMA/RoCE data paths.
- Experience with the Mirantis K0rdent stack (K0rdent Enterprise, K0rdent AI, k0s, MKE) and Cluster API.
- Familiarity with other storage backends (Ceph, object/S3) and CSI driver operations.
- Proven experience in sovereign or high-security air-gapped environments.
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