Storage Systems Engineer

Job Summary 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. Responsibilities 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 (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. Duties & Essential Functions 25% Storage Architecture & Infrastructure Design, deploy, and operate large-scale storage systems, including VAST and parallel filesystems. Define standards for performance, redundancy, and scalability. Lead the evolution of institutional storage platforms, including FAC storage environments. 15% 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. 15% 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. 30% Operations & Reliability Implement monitoring, alerting, and capacity planning for storage systems. Troubleshoot issues across storage, network, and compute infrastructure. Perform system maintenance, patching, and lifecycle management. 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 testing and test planning skills, including automated testing. Knowledge of HPC job scheduler system design and operation such as SLURM or PBS. 5+ years of experience deploying, managing, and troubleshooting Warewulf (or similar) infiniBand-based clusters. Ability to write technical documentation in a clear and concise manner, and to develop runbooks. Strong knowledge of high-performance parallel filesystems and storage such as GPFS, Lustre, VAST, DDN. Understanding of system performance monitoring and actions to improve or correct performance. Demonstrated advanced knowledge, skills and abilities in system problem identification and resolution. Ability to elicit and communicate technical and non-technical information clearly. Self‑motivated, works independently and as part of a team, with strong problem‑solving skills. Advanced experience writing and editing complex scripts for system maintenance and administration. Advanced knowledge of computer security best practices and policies, including experience securing research cyberinfrastructure systems to meet NIST 800-171 / 800-223, HIPAA or IS‑3 requirements. Preferred Qualifications Expert knowledge of 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, with a thorough understanding of systems-related issues and actions to improve performance. Demonstrated skills in adapting equipment and technology to serve user needs and understanding how system management actions affect other systems and users. 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 and Benefits 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. #J-18808-Ljbffr University of California - San Francisco