Systems Administrator for Big Data Science Systems - 136358

UC San Diego Skaggs School of Pharmacy and Pharmaceutical Sciences (SSPPS) is growing in the diverse areas of professional educational programs, cutting-edge research, and pharmacy services. The school is committed to offering a dynamic learning environment and growing opportunities to its talented and dedicated employees.

Applies advanced computational, computer science, data science, and software research and development principles to perform complex distributed computing architectural design, administration, and maintenance, involving in-depth evaluation of variable factors impacting medium to large projects of broad scope and complexities. Designs, develops, and optimizes storage systems for repository systems receiving and serving multiple petabytes of data, as well as systems and tools for major High Performance Computing (HPC) and data science projects. Evaluates and recommends new hardware and software technologies to advance these projects. Resolves complex research and technology development and integration issues. Manages large-scale storage needs, developing and managing backup solutions for project and user data, including infrastructure for controlled-access data as required for HIPAA-protected data. Designs, implements and manages the networking infrastructure to connect all servers, storage systems, compute systems and virtual machines. Develops and maintains configuration management infrastructure, providing documentation on management practices and methods, providing systems administration for all systems of the Center for Computational Mass Spectrometry (CCMS). Develops and coordinates enhancements to and re-engineering of these systems in keeping with the long-range needs and objectives of the center. Gives technical presentations to associated research and technology groups and management. May represent the organization as part of a team at national and international meetings, conferences and committees. Assists in the design, implementation and recommends new hardware and software technologies for advancing complex HPC, data science, CI projects. May lead a team of research and technical staff. Performs other duties as assigned.

• Nine years of related experience, education/training, OR an Bachelor's degree in related area plus five years of related experience/training.

• Advanced knowledge of HPC / data science / CI.

• Highly advanced skills, and demonstrated experience associated with one or more of the following: HPC hardware and software power and performance analysis and research, design, modification, implementation and deployment of HPC or data science or CI applications and tools of large-scale scope.

• Exceptional ability to design, deploy and operate petabyte-scale data redundancy and backup systems and processes in order to prevent loss of data and constant service availability to thousands of worldwide users.

• Exceptional ability to design, implement, and maintain critical storage and core service infrastructure for the large-scale data systems constantly running HPC algorithms on tens of thousands of datasets.

• Advanced experience working in a complex computing / data / CI environment encompassing all or some of the following: HPC, data science infrastructure and tools / software, and diverse domain science application base. Strong demonstrated experience with tools and infrastructure related to deployment and management of distributed systems, such as DNS, DHCP, NFS, SSH, Puppet/Ansible, security logging, file sharing, file systems (e.g. ZFS and TrueNAS), etc

• Exceptional and in-depth knowledge of relevant operating systems (MAC OS, Linux), database conventions and tools, communication protocols and systems utilities.

• Demonstrated ability to regularly, effectively communicate with unit-level management.

• Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences. Exceptional and in-depth knowledge of Linux operating systems, storage infrastructure and virtualization tools (including Proxmox and KVM) , database conventions and tools, communication protocols and systems utilities.

• In depth skills and experience in independently resolving complex computing / data / CI problems using introductory and / or intermediate principles.

• Self-motivated and works independently and as part of a team. Proven technical leadership and team orientation.

• In depth ability to successfully work and / or lead multiple concurrent projects. Demonstrated research and technology project leadership and management skills.

• In depth experience assessing a broad spectrum of technical and research needs and demands and establish priorities, delegate and / or lead development of solutions to meet such needs.

• Demonstrated advanced experience in one or more of the following: optimizing, benchmarking, HPC performance and power modeling, analyzing hardware, software, and applications for HPC / data / CI.

• Strong demonstrated experience in training others to understand and use available computing clusters systems and applications.

• Exceptional advanced knowledge of all or most of the following tools and technologies:Puppet/Ansible, Proxmox, Torque, Slurm, Apache, Tomcat, vsftpd, MySQL, Java, PythonGitHub, C, C++, perl, SQL, Postgres, and shell programming.

• Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences.

• Demonstrated ability to initiate research proposals and acquire funding.

• Advanced experience working in a complex computational/large-scale storage environment encompassing domain science applications or tools, particularly biological mass spectrometry domains such as proteomics, metabolomics, etc.

• Employment is subject to a criminal background check.