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Niche HPC storage skills reduce pool, but metro location and mid-level seniority increase applicant density.
Highly specialized HPC/storage and RDMA skills limit cross-industry transferability.
Explicit 5+ years and mandatory HPC/storage, InfiniBand/RDMA, and distributed-filesystem requirements make shortlisting strict.
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Own Tier 3 incident, problem, and change management for HPC storage technologies within Managed Services environments.
Administer and optimize parallel/distributed filesystems (e.g., Lustre, GPFS, Ceph) to enhance performance for AI training and inference workloads.
Build automation for storage provisioning, monitoring, and support large-scale HPC/AI storage clusters including troubleshooting across storage, Linux, network, and I/O layers.
5+ years experience in HPC, AI infrastructure, or large-scale storage engineering.
Bachelor's degree or equivalent in Information Systems or related field, or equivalent specialized experience.
Strong Linux systems administration skills and hands-on experience managing distributed/parallel filesystems with storage tuning for performance-sensitive workloads.
Experience with HPC schedulers (e.g. Slurm), container platforms (e.g. Kubernetes), high-speed interconnects (InfiniBand/RDMA), and data protection strategies including replication and disaster recovery.
Experienced in supporting storage solutions tailored for GPU clusters and AI/ML workflows at multi-petabyte scale.
Skilled in automation tools (e.g. Terraform, Ansible, Helm) and observability platforms (e.g. Prometheus, Grafana) for managing complex HPC storage infrastructures.
Demonstrated ability to troubleshoot and resolve issues spanning storage, compute, network, and I/O in multi-tenant, high-performance production environments.