Senior DevOps Engineer (Storage) - remote in the US

Doist

United States

Hybrid

USD 140,000 - 170,000

Full time

14 days+

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Job summary

Doist is seeking a senior DevOps engineer to own the storage stack where Kubernetes meets bare metal, standing up NFS-based high-performance storage and wiring it into clusters via CSI for GPU workloads at scale. The role spans hybrid, edge, and air-gapped deployments built on the Mirantis K0rdent stack.

The ideal candidate treats storage as infra to be automated, observed, and tuned, with IaC and GitOps by default.

Qualifications

  • Senior DevOps engineer with storage as infrastructure mindset.
  • Fluent in Kubernetes storage and bare-metal to disk/kernel layers.
  • Experience automating with IaC and GitOps.

Responsibilities

  • Integrate NFS-based high-performance storage into Kubernetes clusters via CSI and storage classes.
  • Tune NFS data path for high-throughput, low-latency GPU/AI workloads.
  • Deploy and operate storage services and operators; manage capacity, quotas, snapshots.
  • Provision and configure storage on bare-metal hosts, including disk layout and kernel tuning.
  • Deliver storage integration for k0s-based Kubernetes via CAPI and K0rdent topologies.
  • Operate storage in air-gapped environments with Harbor, PKI/TLS considerations.
  • Automate provisioning with Terraform/OpenTofu and GitOps (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
NFS
CSI
GitOps
Terraform
OpenTofu
ArgoCD
Flux
Performance tuning
Observability

Tools

Harbor
K0rdent
Cluster API (CAPI)

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, comfortable on bare metal down to the disk, 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.

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, 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. Bare Metal & Platform
    • Provision and configure storage on bare-metal hosts, including disk layout, drivers, and kernel/network tuning.
    • 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.
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