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
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Provide enterprise-level operational support to Managed Services customers for incident, problem, and change management activities

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Administer parallel and distributed filesystems such as Lustre, GPFS, BeeGFS, Ceph, Weka, or Vast

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Optimize storage performance, throughput, metadata operations, and data locality for AI training and inference

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Build and maintain automation for storage provisioning, monitoring, alerting, quota management, and lifecycle operations

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Plan and perform maintenance activities

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Assess customer environments for performance and design issues and propose resolutions

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Work across technical teams to troubleshoot complex infrastructure issues

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Create and maintain detailed documentation

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Serve as a subject matter expert and escalation point for storage technologies

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Work with vendors to resolve storage issues

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Communicate with customers and internal team with transparency

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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

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

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Bachelor’s degree or equivalent Information Systems or related field. Unique education, specialized experience, skills, knowledge, training, or certification may be substituted for education

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Strong experience with Linux systems administration

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Hands-on experience configuring, managing, and tuning distributed or parallel filesystems

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Experience tuning storage for performance-sensitive workloads

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Knowledge of HPC schedulers such as Slurm and/or container platforms such as Kubernetes

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Familiarity with high-speed interconnects such as InfiniBand or RDMA

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Ability to troubleshoot complex issues across storage, compute, and networking layers

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Understanding of data protection mechanisms, including data replication, backup strategies, and disaster recovery in HPC environments

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Experience with machine learning or data science workflows in HPC environments

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Managed Services or consulting experience

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Preferred Qualifications
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Experience supporting storage solutions for GPU clusters and AI/ML workflows

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Familiarity with object storage such as S3, MinIO, or Ceph Object Gateway

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Experience with Terraform, Ansible, Helm, or GitOps workflows

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Knowledge of observability platforms such as Prometheus and Grafana

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Experience with multi-petabyte environments, caching architectures, and storage isolation in multi-tenant systems

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Experience with machine learning or data science workflows in HPC environments

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Scripting or programming experience with Python and Bash

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Related Storage certifications are a bonus