Senior HPC Storage Engineer

GTN Technical Staffing; Town of Texas (WI); On-site; USD 140,000 - 190,000; Full time

Job summary

GTN Technical Staffing is seeking a Senior HPC Storage Engineer to design, deploy, optimize, and support large-scale storage infrastructure powering HPC, AI, and data-intensive workloads.

You will join an HPC storage engineering team managing multi-PB environments with a focus on VAST Data, automation via Python, and highly available storage for mission-critical compute workloads.

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.

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.

Skills

HPC storage design

Storage performance tuning

Python scripting

APIs & automation

Storage troubleshooting

Tools

VAST Data

Dell PowerScale / Isilon

HPE storage

Job description

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 DevOps 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 PowerScale / 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.