Skills

Academic Researchunmatched

Analysis Skillsunmatched

Artificial Intelligence (AI)unmatched

Best Practicesunmatched

Biologyunmatched

Biomedical Researchunmatched

Cancerunmatched

Capacity Managementunmatched

Capacity Strategyunmatched

Capacity and Performance Managementunmatched

Communication Skillsunmatched

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Computer Engineeringunmatched

Computer Networksunmatched

Computer Scienceunmatched

Computer Securityunmatched

Computer Systemsunmatched

Cross-Functionalunmatched

Customer Support/Serviceunmatched

Data Collectionunmatched

Data Managementunmatched

Data Migrationunmatched

Data Scienceunmatched

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Diseaseunmatched

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Ecosystemsunmatched

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Emerging Technologyunmatched

Employment Contractsunmatched

Equal Employment Opportunity (EEO)unmatched

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HIPAA (Health Insurance Portability and Accountability Act)unmatched

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IBM Product Familyunmatched

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Large-Scale Systemsunmatched

Linux Operating Systemunmatched

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VMWareunmatched

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Writing Skillsunmatched

Description

This is a two-year contract of employment, inclusive of benefits.

The Academic Research Services team at UCSF is seeking an Storage Systems Engineer (SYS ADM 4) to serve as a technical resource in the design, deployment, and operation of large-scale research storage and data infrastructure. This role will work in close partnership with the Senior Research DevOps Engineer to support UCSF's evolving research ecosystem, including CoreHPC, the Research Analysis Environment (RAE), and large institutional storage initiatives.

This position is primarily responsible for architecture, implementation, and lifecycle management for the Facility for Advanced Computing (FAC), storage and systems, including support for large storage environments, NSF-funded infrastructure, and OS Nexus-aligned data platforms. The role ensures seamless integration between storage systems and the CoreHPC compute cluster, enabling performant, reliable, and scalable data access for AI, data science, and computational research workloads.

The Storage Systems Engineer will:

Work with the lead to continue supporting the design and evolution of storage architecture across on-prem and hybrid environments, including VAST, parallel filesystems, and enterprise storage platforms
Develop and maintain data movement strategies and tooling (e.g., rsync, rclone, Globus, SMB workflows) to support large-scale data ingestion, migration, and lifecycle management
Ensure tight integration between storage and HPC compute systems, optimizing throughput, latency, and reliability for distributed workloads
Support and scale storage systems backing major institutional initiatives (FAC storage, OS Nexus integration)
Collaborate closely with DevOps, networking, and security teams to deliver cohesive research infrastructure solutions
Design and implement monitoring, performance tuning, and capacity planning strategies for storage and data systems
Troubleshoot complex issues across storage, networking, and compute boundaries
Participate in system upgrades, migrations, and expansion efforts with minimal disruption to researchers
Provide guidance to researchers on data organization, transfer strategies, and performance optimization
Evaluate and recommend emerging storage technologies and architectures

This role may lead storage-focused projects and contribute to cross-functional initiatives that improve the scalability, usability, and reliability of UCSF's research computing ecosystem.

Department Overview

Academic Research Systems (ARS) serves the needs of the UCSF research community by providing an integrated repository of HIPAA compliant clinical and life sciences data and a centralized, secure, professionally managed infrastructure for the storage and management of research data. ARS empowers medical scientific investigations by offering secure computing environments, data capture, management and analysis tools, and support services which meet researchers' needs.

The Research Infrastructure team of the Academic Research Service (ARS) focuses on large scale research platform support, high performance computational and storage services for UCSF researchers so they can address complex computational, AI, and data science problems.

About UCSF

The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world's leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.

Pride Values

UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence - also known as our PRIDE values.

In addition to our PRIDE values, UCSF is committed to equity - both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available here.

Join us to find a rewarding career contributing to improving healthcare worldwide.

Equal Employment Opportunity

The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.

Salary Information

The final salary and offer components are subject to additional approvals based on UC policy.

Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.

To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html

REQUIRED QUALIFICATIONS

Bachelor''s degree in a related area, such as computer science or engineering, and 6+ years of experience with storage infrastructure support and management, or 10+ years of related experience with large-scale storage systems
Demonstrated skill (5 years +) deploying, managing, and troubleshooting Warewulf (or similar) InfiniBand-based clusters
Strong knowledge of ZFS, high-performance parallel filesystems, and storage such as GPFS, Lustre, Vast, DDN, etc
Advanced knowledge of computer security best practices and policies, including demonstrated experience securing research cyberinfrastructure systems to meet NIST 800-171 / 800-223, HIPAA, or IS-3 requirements
Knowledge of HPC job scheduler system design and operation, such as SLURM or PBS,
Ability to elicit and communicate technical and non-technical information in a clear and concise manner.
Self-motivated and works independently and as part of a team. Demonstrates problem-solving skills. Able to learn effectively and meet deadlines.
Understanding of system performance monitoring and actions that can be taken to improve or correct performance.
Demonstrated advanced knowledge, skills, and abilities associated with system problem identification and resolution. Experience with design, configuration, operation, repair, and tuning of technology systems.
Advanced experience writing and editing the most complex scripts used to perform system maintenance and administration.
Demonstrated testing and test planning skills. Demonstrated ability to create automated testing.
Ability to write technical documentation in a clear and concise manner. Ability to develop runbooks defining complex technical processes in a clear and concise manner

PREFERRED QUALIFICATIONS

Expert knowledge of Virtual Machines, Bare Metal Servers & HPC systems infrastructure design
Knowledge of the design, development and application of technology and systems to meet business needs.
General knowledge of other areas of IT. E.g., Active Directory, Domain Controllers, Network Infrastructure.
Demonstrated skills associated with adapting equipment and technology to serve user needs. Demonstrated comprehensive understanding of how system management actions affect other systems, system users and dependent/related functions.
Professional certification in enterprise storage technologies (e.g., NetApp, Dell EMC PowerScale, IBM Storage Scale, VAST, Pure Storage)

of time

Essential Function (Yes/No)

Key Responsibilities

(To be completed by Supervisor)

Storage Architecture & Infrastructure

Design, deploy, and operate large-scale storage systems, including ZFS, VAST and parallel filesystems.

Define standards for performance, redundancy, and scalability on ZFS filesystems

Lead the evolution of institutional storage platforms, including FAC storage environments.Primarily ZFS

Manage Active Directory integration with storage and compute systems

Data Movement & Migration

Architect and execute large-scale data migrations.

Develop and maintain data movement workflows using tools such as rsync, rclone, and Globus.

Optimize data transfer processes across storage and compute environments.

Virtual/Physical Compute & HPC Integration & Performance

Integrate storage systems with the CoreHPC compute cluster

Optimize I/O performance for AI, machine learning, and HPC workloads.

Support efficient data access patterns for distributed and scheduled workloads.

Manage & Configure VMWare, Bare Metal Servers

Operations & Reliability

Implement monitoring, alerting, and capacity planning for storage systems & operating systems like Linux/Windows

Troubleshoot issues across storage, network, and compute infrastructure.

Perform system maintenance, patching, and lifecycle management.

Researcher Enablement

Advise researchers on data workflows and storage best practices.

Support onboarding of projects with large-scale data requirements.

Collaboration & Strategy

Collaborate with DevOps, networking, and security teams.

Evaluate and recommend new storage technologies and architectures.

100%

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