AI Storage Infrastructure Engineer - remote
Oklahoma City, Oklahoma County, Oklahoma, 73116, USA
Listed on 2026-10-05
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IT/Tech
Systems Engineer, Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, IT Infrastructure
Company Description
Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment-on-premises, in the cloud, at the edge, or in sovereign data centers.
As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy.
Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment-on-premises, in the cloud, at the edge, or in sovereign data centers.
As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy.
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 k spans hybrid, edge, and air-gapped deployments built on the Mirantis K0rdent stack.
Aboutthe Role
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 Git Ops 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.
1. Storage Integration & Operation
- Integrate NFS-based high-performance storage (e.g., VAST, Dell Power Scale) 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.
- 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.
- Automate storage provisioning and configuration with infrastructure-as-code (Terraform/Open Tofu) and Git Ops 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.
Required 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 experience in Linux and K8s storage fundamentals (NFS, CSI)
- 1 years of experience integrating with or building High Performance Storage solutions (VAST, Weka, DDN,…
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