Senior HPC Storage Architect - Remote & On-Call

The Regents of the University of California on behalf of their Los Angeles Campus

Los Angeles (CA)

Hybrid

USD 150,000 - 230,000

Full time

14 days+

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Job summary

UCLA’s Office of Advanced Research Computing (OARC) seeks a Senior HPC Storage Engineer to lead design, deployment, and operation of large-scale storage systems supporting data-intensive research, AI/ML, and multi-institution collaborations. You will evaluate storage tech, deploy petabyte-scale platforms, and ensure secure, reliable services across campus, cloud, and federated HPC environments.

Join a collaborative team advancing national-scale research data infrastructure through the iDLab

Qualifications

  • 7 years or more experience in storage environments with responsibility for large-scale production storage services (Required).
  • Experience with petabyte-scale storage, federated storage, multi-site research infrastructure, or HPC/cloud-integrated storage (Preferred).
  • Advanced knowledge of HPC, data science, and cyberinfrastructure supporting large-scale workloads (Required).
  • Knowledge of scale-out, parallel, distributed, object, federated storage architectures and performance considerations (Required).
  • Hands-on experience with large-scale storage platforms (Lustre, VAST Data, GPFS/Spectrum Scale, Ceph, BeeGFS, MinIO) (Required).
  • Experience operating large-scale production storage systems (monitoring, capacity planning, upgrades, tuning, incident response, backup, DR) (Required).
  • Advanced Linux administration including kernel troubleshooting and tuning (Required).
  • Scripting/automation using Bash/Python; familiarity with Ansible and Git (Required).
  • Experience integrating storage with identity providers (AD/LDAP/OIDC/SAML/Globus) (Required).
  • Ability to design and execute benchmarks and document results (Required).
  • Ability to design/support shared research storage services and data movement (Preferred).
  • Strong communication with technical and leadership audiences (Required).
  • Ability to lead technical teams and manage multi-month projects (Required).

Responsibilities

  • Lead design, deployment, and operation of petabyte-scale storage systems for data-intensive research.
  • Evaluate emerging storage technologies and architectures for campus, cloud, and federated HPC environments.
  • Develop secure, reliable storage services and perform performance optimization.
  • Conduct storage benchmarks, validate vendor claims, and document results for engineering/executive audiences.
  • Coordinate with researchers and partner institutions; contribute to national-scale data infrastructure initiatives.
  • Support deployment and upgrades, incident response, backup, replication, and disaster recovery for storage platforms.

Skills

Large-scale storage
HPC storage
Storage architectures
Lustre
GPFS/Spectrum Scale
Ceph
BeeGFS
MinIO
Performance tuning
Linux administration
Scripting (Bash/Python)
Identity integration (AD/LDAP/OIDC/SAM

Education

Bachelor's Degree in Computer Science/related field
Master's Degree (Preferred)
PhD (Preferred)

Tools

Ansible
Git
Python

Job description

UCLA’s Office of Advanced Research Computing (OARC) seeks a Senior HPC Storage Engineer to lead design, deployment, and operation of large-scale storage systems supporting data-intensive research, AI/ML, and multi-institution collaborations. You will evaluate storage tech, deploy petabyte-scale platforms, and ensure secure, reliable services across campus, cloud, and federated HPC environments.

Join a collaborative team advancing national-scale research data infrastructure through the iDLab

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