Senior Linux Storage Engineer – HPC Data Systems

NLR

United States

Hybrid

USD 100,000 - 181,000

Full time

14 days+

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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Pension benefits
401(k) match
Tuition reimbursement
Paid time off

Job summary

NLR’s Computational Science Center in Golden, CO is seeking a Storage Engineer III to install, configure, and support storage products and services for data-intensive computing. The role focuses on object storage, block storage, distributed file systems, and cloud storage, with emphasis on high throughput and scalable data pipelines.

You will determine optimal hardware and software configurations, stay current with new storage technologies, and collaborate with researchers and operations teams

Qualifications

  • Bachelor's degree with 5+ years storage experience.
  • Master's degree with 3+ years storage experience.
  • PhD or equivalent storage experience.

Responsibilities

  • Install, configure, and support storage products and services for data-intensive computing.
  • Determine optimal hardware and software configurations for storage systems.
  • Stay abreast of new storage technologies and techniques for storage services.
  • Collaborate with researchers and cross-functional teams in a hybrid work model.

Skills

Storage engineering
Linux systems
Python scripting
Problem solving
Communication

Education

Bachelor's degree with 5+ years storage experience
Master's degree with 3+ years storage experience
PhD or equivalent

Tools

Network Attached Storage
SLURM
Ansible
Ceph

Job description

NLR’s Computational Science Center in Golden, CO is seeking a Storage Engineer III to install, configure, and support storage products and services for data-intensive computing. The role focuses on object storage, block storage, distributed file systems, and cloud storage, with emphasis on high throughput and scalable data pipelines.

You will determine optimal hardware and software configurations, stay current with new storage technologies, and collaborate with researchers and operations teams

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