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Senior HPC Storage Engineer
Job in
Town of Texas, Marathon County, Wisconsin, USA
Listed on 2026-10-16
Listing for:
GTN Technical Staffing
Full Time
position Listed on 2026-10-16
Job specializations:
-
IT/Tech
IT Infrastructure, Systems Engineer, Cloud Computing: Infrastructure & Operations, Data Engineering
Job Description & How to Apply Below
Compensation:
Competitive Base Salary + Performance Bonus
OverviewOur client is seeking a Senior HPC Storage Engineer to design, deploy, optimize, and support large-scale storage infrastructure powering advanced HPC, AI, and data-intensive workloads.
This role will join an HPC storage engineering team responsible for more than 200PB of high-performance storage
, with a significant focus on VAST Data environments.
The engineer will help scale storage capacity, improve performance, automate infrastructure operations, and maintain highly available storage platforms supporting mission-critical compute environments.
Key Responsibilities- Design, deploy, administer, and scale VAST Data and other high-performance storage environments.
- Support multi-petabyte storage infrastructure with a focus on availability, throughput, scalability, and low-latency access.
- Serve as a technical resource for storage architecture, configuration, upgrades, capacity planning, and troubleshooting.
- Support storage lifecycle activities including deployments, expansions, migrations, upgrades, and technology refreshes.
- Develop storage engineering standards and operational best practices.
- Monitor and optimize storage performance across HPC and AI environments.
- Troubleshoot throughput, latency, capacity, metadata, and workload-related issues.
- Identify bottlenecks and recommend architectural or configuration improvements.
- Partner with compute, networking, and application teams to optimize end-to-end data workflows.
- Analyze utilization and workload behavior to improve infrastructure efficiency.
- Develop automation for storage provisioning, configuration, monitoring, validation, and lifecycle management.
- Build repeatable workflows using Python and modern automation practices.
- Support Infrastructure-as-Code and Dev Ops approaches across storage operations.
- Reduce manual processes through scripting, APIs, and automation tooling.
- Troubleshoot complex issues across storage, hardware, software, networking, and workload layers.
- Support highly available production storage environments.
- Perform root-cause analysis and implement long-term corrective actions.
- Participate in capacity planning, infrastructure expansion, and operational readiness.
- Work closely with HPC, platform, network, software, and infrastructure teams.
- Partner with researchers and application teams to understand workload and performance requirements.
- Coordinate with storage vendors on architecture, escalations, upgrades, and product issues.
- Work with technologies from VAST Data, Dell, HPE, Rubrik, and similar vendors.
- Strong hands-on experience designing, deploying, or supporting enterprise or HPC storage infrastructure.
- Experience with VAST Data strongly preferred.
- Experience with distributed, clustered, or scale-out storage platforms.
- Strong understanding of file, block, and object storage.
- Experience supporting multi-petabyte or rapidly scaling storage environments.
- Strong knowledge of storage performance, capacity planning, redundancy, availability, and data protection.
- Experience troubleshooting across storage, compute, and networking layers.
- Ability to support highly available production environments.
- VAST Data administration, architecture, or engineering.
- Experience with Dell Power Scale / Isilon, HPE, or similar scale-out storage technologies.
- Python or comparable scripting experience.
- Experience with APIs, automation frameworks, or Infrastructure-as-Code.
- Understanding of high-speed networking as it relates to storage performance.
- Experience with monitoring and infrastructure management platforms.
- HPC, AI, machine learning, or research computing environments.
- Storage infrastructure at 100PB+ scale.
- Large GPU or CPU compute environments.
- High-performance networking technologies.
- Large-scale backup, replication, and data protection platforms.
Position Requirements
10+ Years
work experience
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