Research Computing Systems Specialist
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Stanford Research Computing/Stanford University
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Stanford, CA
SessionJob Postings
DescriptionThe 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 (SRCC) 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.
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.
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.
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.
RequirementsRequirements are:
- 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
Preferred skills/experience includes:
- 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
Company DescriptionAt the heart of Stanford's culture is a genuine love of and deep passion for continued education. We're passionate about enabling a culture of collaboration, excellence and continuous learning that enables our impressive mission. We're enthusiastically working to progress the frontiers of knowledge, inspire innovation and creativity, and ultimately prepare our community to think broadly, deeply and critically about the world's problems—and how to best be of service in an increasingly connected world.
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2022-11-14
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location