Job Summary:
We are looking for an experienced Storage Engineer to manage and optimize high-performance storage infrastructure supporting NVIDIA GPU clusters and AI/ML workloads.
Key Responsibilities:
Design, implement, and manage high-performance storage systems.
Optimize storage performance for AI/ML training and inference.
Troubleshoot critical storage issues and ensure system reliability.
Manage storage capacity, backups, disaster recovery, and security.
Automate storage monitoring and maintenance activities.
Required Skills:
Hands-on experience with Lustre, BeeGFS, Ceph, NVMe-oF, and S3 Object Storage.
Knowledge of distributed storage, GPU infrastructure, and high-performance computing.
Familiarity with Prometheus, Grafana, and Ansible.
Qualifications:
BE/B.Tech in Computer Science, Electronics & Communication, or equivalent.
7–12 years of relevant experience in distributed storage.
Storage certifications (SNIA, NetApp, Dell, or VAST) preferred.
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