Application Engineer II

Summary

Location

Greenville, SC

Duration

12 Months

Responsibilities

• Manage and optimize the full HPC storage topology, including home directories, high-performance local scratch/compute, project storage, and archive tiers.
• Administer and enforce per-user and per-project storage quotas; monitor utilization trends and provide capacity forecasting inputs.
• Manage file permissions and access control lists (ACLs) across multi-protocol (NFS/SMB) environments.
• Contribute to storage cost benchmarking and reporting, providing data-driven insight into storage spend within the AWS environment.
• Define and enforce data lifecycle policies, implementing and maintaining automated tiering and expiration workflows.
• Lead the definition and implementation of an engineering simulation data archival standard.
• Partner with the Digital Technology (DT) team to define and maintain collaborative team and project folder structures.
• Support the organization's initiative to define engineering simulation data standards for AI/ML workloads.

Requirements

• Demonstrated ability to develop and document standard operating procedures.
• Experience in HPC storage administration in a production environment.
• Experience with quota management systems and storage capacity planning.
• Expertise in high-performance parallel/distributed file systems (e.g., Lustre, GPFS/IBM Spectrum Scale, BeeGFS, WekaIO, or similar).
• Proficiency in storage tiering, data lifecycle management, and archival tooling.
• Solid Linux systems administration skills.
• Strong experience with NFS and SMB/CIFS dual permission/ACL management.

Preferred Skills

• Experience in an AWS or cloud hybrid storage environment (S3, FSx for Lustre, EFS).
• Experience working within a DevOps or collaborative Infrastructure as Code model.
• Familiarity with engineering simulation data (CFD, FEA, or similar) and associated file size/storage patterns.
• Familiarity with Slurm job scheduler in the context of scratch and burst storage.