About The Role

The High-Performance Computing Storage Engineer is primarily responsible for the overall health and maintenance of storage technologies in our managed services customer's environments. Our Storage Engineers are a valued member of the Managed Services Infrastructure Practice responsible for Tier 3 incident management, service request management and change management infrastructure support for all Managed Services customers.

Key Responsibilities

Provide enterprise-level operational support to Managed Services customers for incident, problem, and change management activities
Administer parallel and distributed filesystems such as Lustre, GPFS, BeeGFS, Ceph, Weka, or Vast
Optimize storage performance, throughput, metadata operations, and data locality for AI training and inference
Build and maintain automation for storage provisioning, monitoring, alerting, quota management, and lifecycle operations
Plan and perform maintenance activities
Assess customer environments for performance and design issues and propose resolutions
Work across technical teams to troubleshoot complex infrastructure issues
Create and maintain detailed documentation
Serve as a subject matter expert and escalation point for storage technologies
Work with vendors to resolve storage issues
Communicate with customers and internal team with transparency
Support data movement workflows including ingest, replication, caching, tiering, and archiving
Troubleshoot storage, Linux, network, and I/O bottlenecks across storage clusters and fabrics
Partner with infrastructure, platform, and research teams to support production AI/HPC workloads
Evaluate new storage architectures and technologies for scalability, resilience, and cost efficiency
Communicate with customers and internal team with transparency
Participate in on-call rotation

Required Qualifications

5+ years of experience with HPC, AI infrastructure, or large-scale storage engineering

Bachelor’s degree or equivalent Information Systems or related field. Unique education, specialized experience, skills, knowledge, training, or certification may be substituted for education

Strong experience with Linux systems administration

Hands-on experience configuring, managing, and tuning distributed or parallel filesystems

Experience tuning storage for performance-sensitive workloads

Knowledge of HPC schedulers such as Slurm and/or container platforms such as Kubernetes

Familiarity with high-speed interconnects such as InfiniBand or RDMA

Ability to troubleshoot complex issues across storage, compute, and networking layers

Understanding of data protection mechanisms, including data replication, backup strategies, and disaster recovery in HPC environments

Experience with machine learning or data science workflows in HPC environments

Managed Services or consulting experience

Strong background with customer service

High level problem-solving and communication skills

Strong oral and written communications skills