Enterprise Storage Specialist

Bright Vision Technologies
Durham, NC, United States
13 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$100,000.0 - $150,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Databases Data Centers NetApp Applications Data ONTAP (Server Appliance) Ansible Virtualization Technology Ceph (Software) Cloud Platform System HybridCloud Pure Storage Kubernetes
+5 more
Storage Technologies Data Management Restful APIs Terraform Vmware

Job description

We are seeking a Enterprise Storage Specialist with deep expertise across enterprise storage platforms - NetApp ONTAP, Pure Storage, and Ceph - to design, deploy, and operate the storage foundation that supports our compute, virtualization, database, and Kubernetes workloads. The role spans block, file, and object storage across data center, edge, and cloud environments, with strong attention to performance, data protection, and cost. The ideal candidate has operated heterogeneous storage estates at scale, understands the storage characteristics of diverse workloads, and brings strong automation discipline to storage engineering work.

Requirements

  • More than 5 years of enterprise storage engineering experience.
  • Deep expertise in NetApp ONTAP or Pure Storage FlashArray/FlashBlade.
  • Hands-on experience with Ceph at production scale.
  • Strong understanding of SAN, NAS, and object storage protocols.
  • Experience with storage integration for VMware and Kubernetes (CSI).
  • Strong scripting and automation skills using Ansible, Terraform, or REST APIs.
  • Strong understanding of storage performance, capacity planning, and cost optimization.
  • Strong troubleshooting skills across storage, network, and host layers., * Vendor certifications (NCDA, NCIE, Pure Storage certifications).
  • Experience with hybrid-cloud storage replication.
  • Familiarity with software-defined storage platforms beyond Ceph.
  • Experience with object storage at petabyte scale.
  • Exposure to AI/ML workloads with extreme I/O requirements.

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