Senior Storage & Data Protection Engineer for HPC & AI

AHEAD

New York (NY)

On-site

USD 120,000 - 180,000

Full time

9 days ago

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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.