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