Develop robust system monitoring and telemetry tools to track storage performance and reliability metrics.
Architect fault-tolerant storage architectures that ensure high availability and data durability.
Minimum qualifications
Bachelor's degree or equivalent practical experience.
5 years of experience designing, building, and operating large-scale distributed systems, with a focus on scalability, fault tolerance, and reliability.
Experience with storage technology (e.g., block storage, object storage, file storage) and distributed file systems (e.g., Lustre used for AI workloads).
Experience managing cloud storage solutions for data storage, retrieval, or AI/ML training data.
Experience designing system architecture for enterprise computing environments supporting AI/ML workloads.
Preferred qualifications
Experience in designing, building, and operating large-scale distributed systems, with a focus on scalability, fault tolerance, and reliability.
Experience in compute technologies, storage, or hardware architecture.
Experience with HPC systems hardware architecture, network interconnect technologies and topologies, and HPC storage file systems.
Experience in relational Database Management System (RDBMS) kernel or RDBMS storage.
Bachelor's degree or equivalent practical experience.
5 years of experience designing, building, and operating large-scale distributed systems, with a focus on scalability, fault tolerance, and reliability.
Experience with storage technology (e.g., block storage, object storage, file storage) and distributed file systems (e.g., Lustre used for AI workloads).
Experience managing cloud storage solutions for data storage, retrieval, or AI/ML training data.
Experience designing system architecture for enterprise computing environments supporting AI/ML workloads.
