Application Engineer II--Job ID: 4201

Due to nuclear site access/or export-controlled project requirements, this role requires candidates to be U.S. Citizens and not hold dual citizenship. Candidates must also be willing to work on W2. Travel Required: No Work Model: Onsite Bill Rate: $54/hr Hours: 40 hours/week We are seeking an experienced HPC Storage & Data Management Engineer to design, administer, and optimize storage environments within an enterprise-scale, AWS-based high-performance computing platform. This role partners closely with infrastructure and digital technology teams to support global engineering simulation users. Key Responsibilities Storage Architecture & Optimization: Manage home directories, high-performance scratch storage, project storage, and archive tiers, aligning data placement with workload performance requirements. Quota & Capacity Management: Administer user and project storage quotas, monitor utilization, and provide capacity forecasts. File Permissions & Access Management: Manage permissions and access control lists across NFS/SMB environments, ensuring consistent access for Linux HPC and Windows VDI users. Cost Visibility & Reporting: Support storage cost benchmarking and reporting within the AWS environment. Data Lifecycle Management: Define and enforce policies for active, scratch, cold, and archived data, including automated tiering and expiration workflows. Archiving & Retention: Develop and implement archival standards aligned with engineering simulation data retention requirements. Storage Governance: Establish shared team and project folder structures, document standard operating procedures, and communicate storage usage guidelines. AI/ML Readiness: Support data standards that make engineering simulation data structured and accessible for AI/ML workloads.

TECHNICAL SKILLS

Must Have Demonstrated ability to develop and document standard operating procedures. Experience administering HPC storage in a production environment. Experience with quota management systems and storage capacity planning. Expertise in high-performance parallel/distributed file systems such as Lustre, GPFS/IBM Spectrum Scale, BeeGFS, WekaIO, or similar. Proficiency in storage tiering, data lifecycle management, and archival tooling. Strong experience with NFS and SMB/CIFS dual-protocol permission and ACL management. Nice to Have Experience in AWS or hybrid cloud storage environments, including S3, FSx for Lustre, and EFS. Experience working within a DevOps or collaborative Infrastructure as Code model. Familiarity with engineering simulation data, such as CFD or FEA, and associated file size and storage patterns. Familiarity with the Slurm job scheduler in the context of scratch and burst storage. #J-18808-Ljbffr RISINGSUN TECHNOLOGIES