Data Storage Architect Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Location: 100% Remote (U.S.)
Position Type:
Full-time, Direct W2 Salary Range: $140,000–$155,000 Annually Experience Required: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary:
We are seeking a Data Storage Architect 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.
Required Qualifications:
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 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.
Excellent communication and collaboration skills.
Preferred Qualifications:
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.
