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
5+ years of experience with HPC, AI infrastructure, or large-scale storage engineering
Bachelorโs 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
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
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