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Senior HPC Storage Engineer

Job in Town of Texas, Marathon County, Wisconsin, USA
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
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below
Location: Town of Texas

Compensation:

Competitive Base Salary + Performance Bonus

Overview

Our 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.
Performance & Optimization
  • 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.
Automation
  • 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.
Operations & Troubleshooting
  • 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.
Cross-Functional Engineering
  • 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.
Required Qualifications
  • 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.
Technical Skills
  • 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.
Preferred Experience
  • 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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