Storage Solutions Engineer

Bright Vision Technologies•Artesia, CA
•$100,000 - $150,000•Remote

About The Position

Bright Vision Technologies is seeking a Storage Solutions Engineer to design, deploy, and operate enterprise storage infrastructure supporting compute, virtualization, database, and Kubernetes workloads. The role covers block, file, and object storage across data center, edge, and cloud environments, with a focus on performance, data protection, and cost optimization. The successful candidate will have experience operating heterogeneous storage environments at scale, understand the storage needs of diverse workloads, and apply automation to storage engineering.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, or a related field.
  • Five or more 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 integrating storage with 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.
  • Excellent communication and collaboration skills.

Nice To Haves

  • Vendor certifications such as NCDA, NCIE, or 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.

Responsibilities

  • Design, deploy, and operate storage platforms supporting compute, virtualization, database, and Kubernetes workloads.
  • Support block, file, and object storage across data center, edge, and cloud environments.
  • Address storage performance, data protection, capacity planning, and cost optimization.
  • Troubleshoot issues across storage, network, and host layers.
  • Automate storage engineering tasks using scripting, Ansible, Terraform, or REST APIs.
  • Integrate storage with VMware and Kubernetes using CSI.
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