Application Engineer II

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 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 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.

Other Job Requirements:

This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government.