Senior HPC Storage Engineer

GTN Technical Staffing

United States

On-site

USD 150,000 - 190,000

Full time

44 hours ago
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Job summary

GTN Technical Staffing's client is seeking a Senior HPC Storage Engineer to design, deploy, and optimize large-scale storage infrastructure powering HPC, AI, and data-intensive workloads. You will contribute to 200PB+ environments with a focus on VAST Data and scalable, highly available storage platforms.

The role emphasizes automation, capacity planning, performance optimization, and cross-functional collaboration with compute, networking, and research teams.

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

VAST Data experience
HPC storage engineering
Python scripting
APIs / automation / IaC
High-speed networking
Capacity planning

Tools

Dell PowerScale / Isilon
HPE scale-out storage
Monitoring platforms

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.
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