Engineer Storage and Data Protection

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 • Managed Services or consulting experience Preferred Qualifications • Experience supporting storage solutions for GPU clusters and AI/ML workflows • Familiarity with object storage such as S3, MinIO, or Ceph Object Gateway • Experience with Terraform, Ansible, Helm, or GitOps workflows • Knowledge of observability platforms such as Prometheus and Grafana • Experience with multi-petabyte environments, caching architectures, and storage isolation in multi-tenant systems • Experience with machine learning or data science workflows in HPC environments • Scripting or programming experience with Python and Bash • Related Storage certifications are a bonus