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Information Technology Services
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97010 Requisition #
Thanks for your interest in the Research Computing Systems Specialist position. Unfortunately this position has been closed but you can search our 643 open jobs by clicking here.

 

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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