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

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  

• 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