Engineer, Storage and Data Protection

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