Remote Senior Storage Engineer for Kubernetes & AI

Mirantis Inc.

Santa Cruz de Tenerife

Remote

EUR 75,000 - 110,000

Full time

11 days ago
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Benefits offered by this job

Competitive compensation package
Professional development and training
Conference attendance and tech talks

Job summary

Mirantis, a leader in Kubernetes-native AI infrastructure, seeks a senior DevOps storage engineer to own the storage stack for GPU-accelerated AI workloads. You will design, deploy, and tune high-performance NFS-based storage integrated with Kubernetes via CSI, while ensuring robust automation and observability across hybrid and air-gapped deployments.

The role requires deep Linux storage knowledge, experience with bare-metal provisioning, and hands-on work with CSI, K0rdent stack, and storage

Qualifications

  • 7+ years of experience in SRE or infrastructure operations.
  • 5+ years of building/operating distributed production storage systems at scale.
  • Hands-on with high-performance storage solutions (VAST, Weka, DDN, PowerScale).
  • Linux and Kubernetes storage fundamentals (NFS, CSI).

Responsibilities

  • Storage Integration & Operation: Integrate NFS-based high-performance storage into Kubernetes via CSI, storage classes and persistent volumes.
  • Linux Platform & System Integration: Optimize Linux systems for storage workloads and cluster integrations.
  • Automation & Observability: Automate provisioning with Terraform/OpenTofu and GitOps; build monitoring and alerts.

Skills

SRE / infrastructure operations
Distributed storage systems
High performance storage
Linux & Kubernetes storage
Bare-metal provisioning
VAST / Dell PowerScale experience
GPUDirect Storage / RDMA

Tools

VAST
Dell PowerScale
GPUDirect Storage
K0rdent stack
Cluster API
Harbor

Job description

Mirantis, a leader in Kubernetes-native AI infrastructure, seeks a senior DevOps storage engineer to own the storage stack for GPU-accelerated AI workloads. You will design, deploy, and tune high-performance NFS-based storage integrated with Kubernetes via CSI, while ensuring robust automation and observability across hybrid and air-gapped deployments.

The role requires deep Linux storage knowledge, experience with bare-metal provisioning, and hands-on work with CSI, K0rdent stack, and storage

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