Storage Systems Engineer

Bright Vision Technologies•Orlando, FL
•$100,000 - $150,000•Remote

About The Position

Bright Vision Technologies is seeking a Storage Engineer to design, deploy, and operate enterprise storage supporting compute, virtualization, database, and Kubernetes workloads. The role spans block, file, and object storage across data center, edge, and cloud environments, with 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 applies strong automation practices to storage engineering work. The position is full-time, direct W2, and 100% remote in the United States. The annual salary range is $100,000–$150,000. U.S. citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply; the company cannot sponsor new H-1B visa petitions for this position.

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, and cost considerations.
  • Apply automation practices to storage engineering work.
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