Lead architect and operator of the data layer for a vertically integrated AI cloud, managing worldwide storage environment and influencing vendor roadmaps.
Compensation
Compensation will be paid in the range of up to $215,000 - $255,000 + Bonus. Restricted Stock Units are included in all offers.
Responsibilities
Evaluate performance of block, file, and object storage systems
Design and execute PoC exercises
Own bring-up, configuration, and performance tuning of large enterprise arrays
Collaborate with Compute and Networking teams to build cloud infrastructure
Lead technical evaluation of new storage technologies
Lead technical direction for Storage Platform Engineering, focusing on GDC AI storage, features, and management within the GDC ecosystem.
Define, measure, and optimize storage performance to meet stringent IOPS, throughput, and latency requirements using tools like fio for comprehensive benchmarking.
Build and enhance observability, monitoring, alerting, and automated remediation capabilities to ensure high availability and smooth operation of file and block storage components.
Implement secure, isolated storage environments for multiple tenants using ONTAP Storage Virtual Machines (SVMs), Role-Based Access Control (RBAC), and Storage Grid.
Enhance the storage architecture to support AI/ML workloads and collaborate with partner teams to ensure customers can run their AI solutions on GDC.
Requirements
Bachelor’s degree or equivalent practical experience
Nice to have: leading technical projects across functional areas in compute or storage
