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Information Technology Services
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97010 Requisition #

Research Computing Systems Specialist

The Data, Analytics, and Research Computing (DARC) team at the Stanford Graduate School of Business seeks a Research Computing Information Systems Specialist or Research Computing System Administrator 3. You will be embedded within and report to the Stanford Research Computing Center team to ensure GSB’s research computing environment serves as a competitive enabler for researchers working with data and computation. You will learn about researcher needs, identify system shortcomings, solve technical problems and design performant solutions for evolving research computing needs. This role requires expert knowledge of research computing systems and workflows, as well as a savvy approach to delivering results in a large organization.

 

DARC is a team of data enthusiasts that possess an insatiable curiosity for data, research and technology, bringing dedication to the work, and a commitment to growth and balance on the team. Expect to work with bright minds on challenging problems, continually evaluate emerging tools, and apply new techniques in system administration and research computing. As these technologies and research questions evolve, so will your role.

 

Your primary responsibilities include:

  • Plan, deploy, tune and monitor storage solutions on the GSB Linux cluster, attending to complex network topography, usage patterns and user experience.
  • Coordinate with members of GSB and Stanford Research Computing Center (SRCC) to design systems and review system specifications.
  • Provide leadership and solutions for complex research computing problems, striking a balance between cloud solutions, semi-private on-premises systems and custom.
  • Evaluate emerging software services and solutions through the specific lens of the GSB Research Community and Stanford’s current offerings.
  • Develop and automate operational workflows for provisioning new users, data sets and machines.
  • Troubleshoot highly complex problems for which the analysis and resolution require extensive knowledge of diverse system components.
  • Develop long range technology plans in service of the research taking place at the GSB.
  • Provide project management, coordination, and programming for systems and client facing research computing projects.
  • Identify applicable new technologies through research, collaboration with peers, and participation in standards organizations, industry groups, panels, etc.
  • Manage vendor relationships and cost effective hardware and software maintenance agreements with vendors.

 

To be successful in this position, you will bring:

  • Bachelor's degree and eight years (System Administrator 3) / ten years (Information Systems Specialist) relevant experience or a combination of education and experience.
  • Expert knowledge of Linux systems and associated technology, including ZFS, NFS, process monitoring, I/O monitoring and ACLs (POSIX, NFSv3, and NFSv4)
  • Expertise in site reliability or dev-ops workflows, including configuration management (e.g., puppet, chef, ansible), automated testing, and performance monitoring
  • Fluency in Bash, Python, or similar for writing scripts in Linux
  • Demonstrated experience in managing research computing clusters, including planning, configuration, lifecycle management
  • Strong communication skills to effectively educate internal and external audiences.
  • Strong analytical skills to understand researcher requirements in data-intensive computational fields
  • Effective cross-functional skills to build professional networks, learn bespoke systems, integrate diverse tools and improve the user experience for GSB researchers
  • Experience working with high risk data, meeting requirements for compliance, and designing policies and procedures for ensuring data privacy

 

In addition, preferred requirements include:

  • Extensive experience in one or more programming languages used in academic research, including R, Stata, SAS, Julia, Matlab or similar.
  • Experience with High Performance Computing (HPC) systems and tools, including the Slurm scheduler and Open On Demand, as well as their integrations with RStudio and JupyterHub
  • Development of cloud infrastructure using AWS or GCP, and integrating those tools with on-premises resources
  • Use of both virtual machines and containers to support complex workloads
  • Experience with data pipelines and tools for transferring, manipulating and querying data in the multi-terabyte scale

 

The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

 

Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.

 

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
 

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