FAC Lead Storage Architect

UCSFSan Francisco, CA
$121,900 - $277,100Remote

About The Position

This position serves as the authoritative architect and strategic advisor responsible for the design, standards-setting, and lifecycle strategy of storage and data infrastructure supporting the Facility for Advanced Computing (FAC) and broader UCSF research initiatives. The role is responsible for architecting scalable, high-performance storage solutions that integrate seamlessly with UCSF’s FAC Compute & CoreHPC environment and research platforms. The incumbent applies advanced IT architecture concepts to support large-scale, data-intensive research across AI, data science, clinical, and computational domains. This includes evaluating emerging technologies, defining long-term storage strategies, and ensuring alignment with institutional priorities for security, compliance, and performance. This position operates within Central IT / Academic Research Services (ARS) and functions as a principal architect and institutional authority for FAC storage systems. The role partners closely with the Senior Research DevOps Engineer and cross-functional teams to define architectural standards and guide the design of large-scale storage environments supporting CoreHPC, the Research Analysis Environment (RAE), and OS Nexus-aligned data platforms.

Requirements

  • Advanced IT architecture concepts applied to large-scale, data-intensive research across AI, data science, clinical, and computational domains
  • Evaluation of emerging technologies
  • Definition of long-term storage strategies
  • Ensuring alignment with institutional priorities for security, compliance, and performance
  • Partnership with Senior Research DevOps Engineer and cross-functional teams
  • Defining architectural standards and guiding the design of large-scale storage environments

Responsibilities

  • Lead the architecture and evolution of FAC storage systems across on-premises and hybrid environments
  • Define integration architecture and standards between storage platforms and FAC Compute & HPC infrastructure, providing technical direction to engineering staff responsible for implementation
  • Establish architectural standards and requirements that ensure scalable, reliable, and high-performance data access for research workloads
  • Provide technical leadership in storage strategy, long-term system design, and architecture governance

Benefits

  • Total compensation information available at https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service