Application Engineer II

Lancesoft; Wade Hampton (SC); On-site; USD 80,000 - 84,000; Full time

Job summary

The HPC Storage & Data Management Engineer role at Lancesoft is based in Greenville, SC, supporting a large-scale AWS-based HPC platform. You will design, administer, and optimize storage environments for approximately 1,500 global users involved in engineering simulations across Gas Power and related business units.

You will collaborate with the Digital Technology team on storage operations and data lifecycle management, drive data tiering and archiving, and help establish governance for shared

Qualifications

• Demonstrated ability to develop and document standard operating procedures.
• Experience in HPC storage administration in production environments.
• Experience with quota management systems and storage capacity planning.
• Proficiency with HPC parallel/distributed file systems (Lustre, GPFS, BeeGFS, etc.).
• Experience with storage tiering, data lifecycle management, and archival tooling.
• Strong Linux systems administration skills.
• Experience with NFS and SMB/CIFS dual permission/ACL management.

Responsibilities

• Storage Architecture & Optimization: manage HPC storage topology and performance.
• Quota & Capacity Management: enforce quotas and forecast capacity.
• Dual-Protocol File Permission Management: ACLs across NFS/SMB for Linux and Windows users.
• Cost Visibility & Reporting: benchmark and report storage spend in AWS.
• Data Lifecycle Management: implement lifecycle policies and automated tiering.
• Archiving & Retention Strategy: define archival standards across engineering data.
• Collaborative Storage Governance: coordinate folder structures and standard work.
• AI Readiness Enablement: support data standards for AI/ML workloads.

Skills

SOP development

HPC storage administration

Quota management

Capacity planning

HPC file systems

Storage tiering

Data lifecycle management

Archival tooling

Linux administration

NFS/SMB ACL management

Job description

Job Details: Job Title: Application Engineer II Location: Greenville, SC Duration: 12 Months Pay Range: $58.00 - $61.00 per hour

Position Summary: The HPC Storage & Data Management Engineer is a dedicated infrastructure specialist responsible for the design, administration, and ongoing optimization of storage environments within client's enterprise-scale, AWS-based HPC platform. This role exists within ADT but operates in close collaboration with the Digital Technology (DT) team in storage operations and data lifecycle management. The engineer serves approximately 1, 500 global users supporting engineering simulation workloads across Gas Power and broader client business units.

Key Responsibilities

• Storage Architecture & Optimization Manage and optimize the full HPC storage topology including home directories, high-performance local scratch/compute, project storage, and archive tiers;ensure appropriate data placement aligned with workload performance requirements.
• Quota & Capacity Management Administer and enforce per-user and per-project storage quotas;monitor utilization trends across the user base and provide capacity forecasting inputs to the HPC Principal Engineer and DT team.
• Dual-Protocol File Permission Management Manage file permissions and access control lists (ACLs) across multi-protocol (NFS/SMB) environments, ensuring consistent access governance for both Linux HPC and Windows VDI users.
• Cost Visibility & Reporting Contribute to storage cost benchmarking and reporting, providing data-driven insight into storage spend within the AWS environment.
• Data Lifecycle Management Define and enforce data lifecycle policies governing the progression of data through active, scratch, cold, and archive states;implement and maintain automated tiering and expiration workflows.
• Archiving & Retention Strategy Lead the definition and implementation of an engineering simulation data archival standard;ensure alignment with the broader engineering simulation data retention strategy.
• Collaborative Storage Governance Partner with DT to define and maintain collaborative team and project folder structures;establish and communicate standard work for shared HPC storage use.
• AI Readiness Enablement Support the organization's initiative to define engineering simulation data standards that ensure data is structured and accessible for AI/ML workloads.

Must Have

• Demonstrated ability to develop and document standard operating procedures
• Experience in HPC storage administration in a prod
• 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

Nice To Have

• 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