Application Engineer II--Job ID: 4201

RISINGSUN TECHNOLOGIES; Greenville (SC); In loco; USD 61.000 - 87.000; Tempo pieno

Descrizione del lavoro

RISINGSUN TECHNOLOGIES is seeking an experienced HPC Storage & Data Management Engineer to design, administer, and optimize storage environments within an enterprise-scale, AWS-based HPC platform. The role collaborates with infrastructure and digital technology teams to support global engineering simulation users.

This onsite position requires strong expertise in Lustre/GPFS, NFS/SMB ACLs, storage tiering, and data lifecycle management, along with SOP development and capacity planning to ensure

Competenze

• 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.

Mansioni

• 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.

Conoscenze

HPC storage administration

File system administration

Quota management & capacity planning

NFS/SMB ACL management

SOP documentation

Strumenti

Lustre

GPFS/IBM Spectrum Scale

BeeGFS

WekaIO

NFS/SMB tooling

Slurm (scratch storage)

Descrizione del lavoro

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.