Senior Storage Engineer, Kubernetes & GPU Infra (Remote)

Mirantis; United States; On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive compensation package

Strong benefits plan

Professional development and training

Attend conferences and working groups

Company outings and hackathons

Job summary

Mirantis in the United States is seeking a senior systems engineer to deploy, integrate, and operate high-performance storage for GPU-accelerated AI workloads. You will own the storage layer where Kubernetes meets bare metal, standing up NFS-based storage and wiring it into clusters via CSI, with air-gapped deployments supported.

Candidates should be fluent in Linux storage and networking, capable of infrastructure-as-code, and comfortable diagnosing performance and reliability issues end to

Qualifications

• 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 Linux and Kubernetes storage fundamentals (NFS, CSI).
• 1+ years of experience with High Performance Storage solutions (VAST, Weka, DDN, PowerScale).

Responsibilities

• 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.

Skills

SRE / storage ops

Kubernetes storage

Linux storage

High performance storage

Tools

CSI

NFS

VAST

Weka

DDN

PowerScale

Job description

Mirantis in the United States is seeking a senior systems engineer to deploy, integrate, and operate high-performance storage for GPU-accelerated AI workloads. You will own the storage layer where Kubernetes meets bare metal, standing up NFS-based storage and wiring it into clusters via CSI, with air-gapped deployments supported.

Candidates should be fluent in Linux storage and networking, capable of infrastructure-as-code, and comfortable diagnosing performance and reliability issues end to