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Mobile Netapp Storage Engineer Jobs in Oak Ridge, TN

ITR

Senior Linux HPC Storage Engineer

Oak Ridge, TN · On-site

Administer and optimize enterprise storage platforms such as Qumulo and NetApp in support of HPC ... Basic Qualifications * A BS degree in computer science, computer engineering, information ...

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Mobile Netapp Storage Engineer information

See Oak Ridge, TN salary details

$9

$53

$79

How much do mobile netapp storage engineer jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for mobile netapp storage engineer in Oak Ridge, TN is $53.74, according to ZipRecruiter salary data. Most workers in this role earn between $44.57 and $63.41 per hour, depending on experience, location, and employer.

What is the difference between Mobile Netapp Storage Engineer vs Storage Administrator?

AspectMobile Netapp Storage EngineerStorage Administrator
CertificationsNetApp certifications, storage managementNetApp or general storage certifications
Work EnvironmentData centers, enterprise storage environments, often on-site or remoteData centers, enterprise storage, often on-site or remote
ResponsibilitiesDesign, implement, and maintain NetApp storage solutions for mobile data needsManage and maintain storage systems, ensure data integrity and availability

The Mobile Netapp Storage Engineer focuses on designing and maintaining NetApp storage solutions specifically for mobile data environments, often requiring specialized certifications. In contrast, a Storage Administrator manages broader storage systems across various platforms, emphasizing data management and system health. Both roles operate in similar environments but differ in scope and specialization.

What are the most commonly searched types of Netapp Storage Engineer jobs in Oak Ridge, TN?

The most popular types of Netapp Storage Engineer jobs in Oak Ridge, TN are:

Mobile Netapp Storage Engineer jobs near you
Infographic showing various Mobile Netapp Storage Engineer job openings in Oak Ridge, TN as of August 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $111,777 per year, or $53.7 per hour.

Senior Linux HPC Storage Engineer

ITR

Oak Ridge, TN • On-site

Full-time

Re-posted 3 days ago

Job description

  • Must be able to work a hybrid work schedule in Oak Ridge, TN
  • Must be eligible for a federal security clearance (US Citizen)

Major Duties/Responsibilities
  1. Architect, deploy, and manage large-scale HPC storage systems, including parallel file systems such as Lustre, GPFS/Spectrum Scale, BeeGFS and WEKA
  2. Design, implement, and operate large-scale Ceph storage clusters for HPC and research workloads, delivering reliable, high-performance object, block, and file storage services.
  3. Ensure the availability, performance, scalability, and security of production storage environments.
  4. Administer and optimize enterprise storage platforms such as Qumulo and NetApp in support of HPC and research workloads.
  5. Design, deploy, and maintain archival storage solutions including Spectra Logic BlackPearl and large-scale tape libraries to ensure long-term data preservation and accessibility.
  6. Integrate high-performance, enterprise, and archival storage layers into cohesive tiered storage architectures that balance cost, scalability, and performance for diverse scientific workflows.
  7. Leverage automation and monitoring solutions to minimize day-to-day maintenance while identifying opportunities to optimize system performance and management.
  8. Collaborate with researchers and technical POCs to support large data workflows and optimize I/O performance for scientific workloads.
  9. Automate storage provisioning, monitoring, and maintenance using scripting and configuration management tools.
  10. Diagnose and resolve complex storage and I/O-related issues in high-throughput, low-latency HPC environments.
  11. Evaluate emerging storage technologies (NVMe, object storage, hierarchical storage management, burst buffers) and contribute to strategic planning for future HPC systems.
  12. Work with 24/7 operations staff to streamline monitoring and troubleshooting, significantly reducing the need for off-hours support.
  13. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace.
 
Basic Qualifications
  • A BS degree in computer science, computer engineering, information technology, information systems, science, engineering, or related discipline and 8–12 years of relevant professional experience; or an equivalent combination of education and experience.
    • Master’s degree holders: 7–10 years of relevant experience.
    • PhD holders: 4–6 years of relevant experience.
  • Five (5) or more years managing UNIX/Linux systems.
  • Demonstrated experience managing HPC storage and large-scale enterprise storage systems.
  • Three (3) or more years working with configuration management and automation tools such as Git, Jenkins, Ansible, or Puppet.
  • Proficiency with at least one scripting language (Bash, Python, Perl, etc.).
  • Strong Linux administration and advanced troubleshooting experience.
  • Experience supporting large data systems and/or HPC scientific workloads.
  • Strong desire to innovate and evaluate new technologies for HPC and storage environments.
  • Collaborative approach and ability to become a trusted advisor to research teams.
Preferred Qualifications
  • Active DOE Q, DoD Top Secret, or TS/SCI clearance is strongly preferred.
  • Solid understanding of multiple operating systems and HPC cluster technologies.
  • Experience with Rocky/CentOS/RHEL, Ubuntu, VMware.
  • Understanding of HPC job schedulers (SLURM) and user support workflows.
  • Experience with container technologies in HPC environments.
  • Experience with multiple system deployment mechanisms (Warewulf, PXEboot, Cobbler, Bright).
  • Experience with GPU clusters (NVIDIA, AMD) for AI/ML and scientific workloads.
  • Deep expertise with high-performance parallel file systems (Lustre, GPFS/Spectrum Scale, BeeGFS, WEKA).
  • Knowledge of storage networking (Infiniband, NVMe-oF, SAN/NAS architectures).
  • Familiarity with RAID, ZFS, and object storage technologies.
  • Strong background in performance monitoring, benchmarking, and I/O optimization.
  • Experience with monitoring systems such as Grafana, CheckMK, Nagios, Zabbix, Ganglia.
  • Previous experience working in a government, scientific, or other highly technical environment.
  • Strong documentation skills and ability to prepare web-based documentation.