Today
Top Secret/SCI
Mid Level Career (5+ yrs experience)
$150,000 and above
IT - Software
Herndon, VA (On/Off-Site)
Education: Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. A Master’s degree or higher is a plus.
Experience:
7+ years of experience in managing data infrastructure in HPC environments, with expertise in file systems, storage appliances, and data workflows.
Hands-on experience with distributed file systems, including Lustre, IBM Spectrum Scale (GPFS), NFS, and others commonly used in HPC settings.
Proven experience with storage appliance configuration (e.g., NetApp, Dell EMC, HPE, or similar systems), including performance tuning, capacity management, and reliability.
Strong experience in implementing data labeling/tagging systems, metadata management, and structuring large datasets for efficient access and compliance.
Knowledge of high-performance networking protocols (e.g., InfiniBand, RDMA) and their role in data transfer and storage optimization.
Familiarity with data access protocols like GridFTP, rsync, and NFS for large-scale data transfer.
(TS/SCI with CI Poly can be taken after start)
Desired Skills:
Experience with cloud storage integration or hybrid cloud environments, with knowledge of cloud-native storage solutions (e.g., AWS S3, Ceph, OpenShift).
Familiarity with high-performance computing (HPC) schedulers (e.g., SLURM, PBS, Torque) and their interaction with data storage systems.
Understanding of data protection mechanisms, including data replication, backup strategies, and disaster recovery in HPC environments.
Experience with containerization (Docker, Singularity) in an HPC context for data processing and application deployment.
Experience with machine learning or data science workflows in HPC environments.
Experience:
7+ years of experience in managing data infrastructure in HPC environments, with expertise in file systems, storage appliances, and data workflows.
Hands-on experience with distributed file systems, including Lustre, IBM Spectrum Scale (GPFS), NFS, and others commonly used in HPC settings.
Proven experience with storage appliance configuration (e.g., NetApp, Dell EMC, HPE, or similar systems), including performance tuning, capacity management, and reliability.
Strong experience in implementing data labeling/tagging systems, metadata management, and structuring large datasets for efficient access and compliance.
Knowledge of high-performance networking protocols (e.g., InfiniBand, RDMA) and their role in data transfer and storage optimization.
Familiarity with data access protocols like GridFTP, rsync, and NFS for large-scale data transfer.
(TS/SCI with CI Poly can be taken after start)
Desired Skills:
Experience with cloud storage integration or hybrid cloud environments, with knowledge of cloud-native storage solutions (e.g., AWS S3, Ceph, OpenShift).
Familiarity with high-performance computing (HPC) schedulers (e.g., SLURM, PBS, Torque) and their interaction with data storage systems.
Understanding of data protection mechanisms, including data replication, backup strategies, and disaster recovery in HPC environments.
Experience with containerization (Docker, Singularity) in an HPC context for data processing and application deployment.
Experience with machine learning or data science workflows in HPC environments.
group id: cxjudgpa
