Engineer, Storage and Data Protection

Job description

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 Required skills- Storage - Vast, Ceph, EMC, Pure, Netapp | Parallel storage systems | Linux administration | HPC/AI ML experience | High speed networking with RDMA and InfiniBand | MSP is highly desired | ITIL is highly desired - 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