Engineer, Storage and Data Protection

AHEAD; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

AHEAD is seeking a High-Performance Computing Storage Engineer to maintain storage technologies across managed services environments. You will support incident, problem, and change management, and work with teams to optimize, automate, and document storage infrastructure.

Responsibilities include administering Lustre/GPFS-like filesystems, tuning for AI workloads, and participating in on-call rotations, with emphasis on customer communication and cross-functional collaboration.

Qualifications

• 5+ years of HPC, AI infrastructure, or large-scale storage engineering.
• Bachelor's degree or equivalent Information Systems or related field.
• Strong Linux systems administration experience.
• 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.
• 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.

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.

Skills

HPC infrastructure

Linux administration

Troubleshooting

Customer service

On-call support

AI workflows

Education

Bachelor's degree in Information Systems

Tools

Slurm

Kubernetes

InfiniBand

RDMA

Ceph

GPFS

Terraform

Ansible

Helm

Prometheus

Grafana

Job description

TheHigh-Performance ComputingStorage Engineer is primarily responsible for the overall health and maintenanceofstoragetechnologiesin our managed servicescustomer'senvironments. OurStorageEngineers are a valued member of the Managed Services Infrastructure Practice responsible for Tier 3 incident management, service requestmanagementand 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 asLustre, GPFS,BeeGFS, Ceph, Weka, or Vast
• Optimizestorage performance, throughput, metadata operations, and data locality for AI training and inference
• Build andmaintainautomation 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 andmaintaindetailed 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 acrossstorageclusters 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 experienceconfiguring, managing, and tuningdistributed or parallel filesystems
• Experience tuning storage for performance-sensitive workloads
• Knowledge of HPC schedulers such asSlurmand/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
• Understandingofdata 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 supportingstorage solutions forGPU clusters and AI/ML workflows
• Familiarity with object storage such as S3,MinIO, or Ceph Object Gateway
• Experience with Terraform, Ansible, Helm, orGitOpsworkflows
• 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