Senior Linux HPC Storage Engineer

Cadre5 provides innovative technical solutions to our customers locally and nationally. Our Cadre5 Lab Partners division has partnered with the Information Technology Services Directorate (ITSD) at Oak Ridge National Laboratory (ORNL) to recruit a Senior Linux HPC Storage Engineer to design, operate and maintain clusters, servers, and workstations supporting services where science happens at ORNL! ORNL delivers scientific discoveries and technical breakthroughs needed to realize solutions in energy and national security and provides economic benefit to the nation. This premier research institution located near Knoxville in Oak Ridge, TN, addresses national needs through impactful research and world-leading research centers. This is a full-time, permanent position that follows a hybrid model. Minimum of 3 days on-site a week. Why Cadre5? Working with highly talented team members 3 weeks’ vacation Excellent medical insurance, up to 100% paid by employer and contributions to HSA Plans Job Responsibilities Architect, deploy, and manage large-scale HPC storage systems, including parallel file systems such as Lustre, GPFS/Spectrum Scale, BeeGFS and WEKA Design, implement, and operate large-scale Ceph storage clusters for HPC and research workloads, delivering reliable, high-performance object, block, and file storage services. Ensure the availability, performance, scalability, and security of production storage environments. Administer and optimize enterprise storage platforms such as Qumulo and NetApp in support of HPC and research workloads. 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-performance, enterprise, and archival storage layers into cohesive tiered storage architectures that balance cost, scalability, and performance for diverse scientific workflows. Leverage automation and monitoring solutions to minimize day-to-day maintenance while identifying opportunities to optimize system performance and management. Collaborate with researchers and technical POCs to support large data workflows and optimize I/O performance for scientific workloads. Automate storage provisioning, monitoring, and maintenance using scripting and configuration management tools. Diagnose and resolve complex storage and I/O-related issues in high-throughput, low-latency HPC environments. Evaluate emerging storage technologies (NVMe, object storage, hierarchical storage management, burst buffers) and contribute to strategic planning for future HPC systems. Work with 24/7 operations staff to streamline monitoring and troubleshooting, significantly reducing the need for off-hours support. 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. The ability to obtain and maintain a Department of Energy "Q" clearance is required. This requires US Citizenship. 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. Benefits Cadre5 offers excellent pay and benefits, to include full medical, dental, and vision coverage coupled with 401K match, 15 days PTO, and 10 holidays. Cadre5 is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. Cadre5 is an E-Verify Employer.

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