Monitor and troubleshoot high-performance compute and AI cluster environments in a 24×7 operations center. Ensure reliability of distributed HPC systems and enterprise storage platforms. Support Kubernetes and Slurm-based compute environments with Grafana and Jira incident management.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Optomi, in partnership with our client, are seeking an IOC Systems Specialist to support a large-scale AI/HPC infrastructure environment focused on high-performance compute and data-intensive workloads.
This role sits in a 24×7 operations center and is responsible for monitoring, troubleshooting, and ensuring reliability of distributed HPC systems and enterprise storage platforms.
- Onsite Fort Worth, TX - relocation assistance available!
- Direct Hire
- On-call rotation
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What you’ll do:
- Monitor and troubleshoot HPC and AI cluster environments in a Tier 2 IOC/NOC setting
- Support and troubleshoot enterprise storage systems (WEKA, VAST, Dell Isilon/PowerScale, or similar SAN/NAS)
- Investigate performance, connectivity, and network-related storage issues (including VLAN and configuration validation)
- Work with Kubernetes and Slurm-based compute environments
- Use monitoring tools (Grafana) and ticketing systems (Jira) for incident management
- Perform root cause analysis and collaborate with engineering teams for resolution
- Ensure system health, uptime, and performance across distributed infrastructure
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What we’re looking for:
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- Experience supporting enterprise storage or data center storage environments
- Strong troubleshooting skills across storage, network, and compute systems
- Familiarity with HPC or high-throughput infrastructure environments
- Understanding of networking concepts (VLANs, connectivity, throughput)
- Experience in operational support environments (IOC/NOC or Tier 2 support)
- Exposure to Kubernetes, Slurm, or similar orchestration/workload tools is a plus
- Join a cutting-edge AI infrastructure company building sustainable, large-scale GPU compute environments powering next-generation workloads.
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