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
  
  

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.