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Spectra Logic Jobs (NOW HIRING)

Design, deploy, and maintain archival storage solutions including Spectra Logic BlackPearl and large-scale tape libraries to ensure long-term data preservation and accessibility. * Integrate high ...

... Spectra Logic Black Pearl, Vectorworks) and all other theatre installations. * Ensure safety standards for equipment operation and rigging are followed and oversee and participate in the Fall ...

... Spectra Logic Black Pearl, Vectorworks) and all other theatre installations. * Ensure safety standards for equipment operation and rigging are followed and oversee and participate in the Fall ...

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Spectra Logic information

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How much do spectra logic jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for spectra logic in the United States is $20.98, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $22.12 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working at Spectra Logic, and how can new employees best prepare for them?

Professionals at Spectra Logic often work with advanced data storage solutions, which means they must stay up-to-date with rapidly evolving technology and industry standards. New employees may find the fast-paced environment and the need to quickly grasp complex hardware and software products to be challenging at first. Collaborating with cross-functional teams—such as engineering, customer support, and sales—is a key part of the role, so strong communication and adaptability are essential. To prepare, candidates should familiarize themselves with the latest trends in data storage, be ready to continuously learn, and demonstrate a proactive attitude toward teamwork and problem-solving.

What is the difference between Spectra Logic vs Data Storage Technician?

AspectSpectra LogicData Storage Technician
CertificationsVendor-specific, data storage, backup, and networking certificationsIT certifications like CompTIA Storage+, Cisco, or vendor-specific storage certifications
Work EnvironmentData centers, enterprise storage facilities, IT departmentsData centers, IT support teams, enterprise environments
Industry UsageData storage, backup, and archival solutionsManaging and maintaining storage hardware and systems

Both roles focus on data storage solutions, but Spectra Logic specializes in designing and supporting storage hardware and backup systems, while Data Storage Technicians handle the day-to-day maintenance and troubleshooting of storage hardware and systems. Understanding these differences helps in choosing the right career path or job focus within the data storage industry.

What is Spectra Logic and what do they do?

Spectra Logic is a company that specializes in data storage and data management solutions. They design and manufacture tape libraries, disk-based storage, and software for data backup, archive, and disaster recovery. Their products are widely used by organizations that need to store large volumes of data securely and cost-effectively, such as in research, media, and enterprise IT environments. Spectra Logic is known for its high-capacity storage systems, scalability, and long-term data preservation capabilities.

What are the key skills and qualifications needed to thrive as a Storage Solutions Engineer at Spectra Logic, and why are they important?

To thrive as a Storage Solutions Engineer at Spectra Logic, you need a strong understanding of data storage technologies, networking, and systems integration, often backed by a degree in computer science or related fields. Familiarity with backup and archiving solutions, tape libraries, cloud storage platforms, and certifications like CompTIA Storage+ or vendor-specific credentials is beneficial. Problem-solving, effective communication, and customer service skills help engineers stand out by ensuring smooth client interactions and technical support. These skills are crucial for designing, deploying, and maintaining reliable storage solutions that meet clients’ data management needs.
More about Spectra Logic jobs
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Infographic showing various Spectra Logic job openings in the United States as of July 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $43,637 per year, or $21 per hour.
Senior Linux HPC Storage Engineer

Senior Linux HPC Storage Engineer

ITR

Oak Ridge, TN • On-site

Full-time

Re-posted 15 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.