Senior AI Storage Engineer - Kubernetes & GPU Infra
Mirantis
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Job summary
Mirantis in California 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, wiring NFS-based storage into clusters via CSI and tuning for throughput and low latency.
The ideal candidate has deep Linux storage knowledge, hands-on Kubernetes storage experience, and a habit of infrastructure-as-code and GitOps.
Qualifications
- 7+ years of experience in SRE or hardware/storage infrastructure operations.
- 5+ years building/operating distributed production storage systems.
- 7+ years Linux and Kubernetes storage fundamentals (NFS, CSI).
- 1+ years experience with high-performance storage solutions (VAST, Weka, DDN, PowerScale).
Responsibilities
- Storage integration and operation across clusters via CSI and storage classes.
- Tune NFS data path for high-throughput GPU/AI workloads.
- Deploy and operate storage services and manage capacity, quotas, snapshots.
- Configure Linux systems for storage workloads and kernel tuning.
- Deliver storage integration for k0s-based Kubernetes via CAPI and Mirantis K0rdent.
- Operate storage in air-gapped environments with Harbor and PKI/TLS considerations.
- Automate provisioning with Terraform/OpenTofu and GitOps pipelines.
Skills
Tools
Job description
Mirantis in California 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, wiring NFS-based storage into clusters via CSI and tuning for throughput and low latency.
The ideal candidate has deep Linux storage knowledge, hands-on Kubernetes storage experience, and a habit of infrastructure-as-code and GitOps.
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