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 

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 

Managed Services or consulting experience