Engineer, Storage and Data Protection

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