Storage & Data Protection Engineer - HPC/AI Infrastructure

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. - 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. - 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. Tech Stack : - Storage : Vast, Ceph, EMC, Pure, Netapp, Parallel storage systems - Networking : High speed networking with RDMA and InfiniBand - Tools : Linux, HPC schedulers (Slurm), Kubernetes, Terraform, Ansible, Helm, GitOps, Prometheus, Grafana, Python, Bash 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 multi-petabyte environments, caching architectures, and storage isolation in multi-tenant systems. - Related Storage certifications are a bonus.