MartinFed ยท 3 months ago
Senior HPC Storage Systems Engineer
Oak Ridge, TN
Full-time
Onsite
Senior Level, Lead/Staff
8+ years expMartinFed is an award-winning small business providing IT and engineering solutions. They are seeking a Senior HPC Storage Systems Engineer to design, operate, and maintain clusters and storage systems supporting research at Oak Ridge National Laboratory (ORNL). The role involves architecting large-scale HPC storage systems and collaborating with research teams to optimize data workflows.
ConsultingCorporate TrainingInformation ServicesInformation TechnologySoftware
No H1B
Security Clearance Required
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
Qualification
Required
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
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
Company
MartinFed
Welcome to MartinFederal! For over a decade, MartinFederal has provided the U.S.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
David Mathis
President and CEO
Corey Martin
Founder & Chairman of the Board
Recent News
Washington Technology
2025-09-30
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