Under the general supervision of the Team Lead for Research Technology, this position is responsible for the day-to-day operations of the university's large-scale research storage platform on the Storrs campus.

Incumbents in this position are considered technical specialists and are expected to have expertise with large-scale integrated computing systems. Individuals are expected to apply a wide range of problem solving and resource management techniques to their work, which is of moderate to complex difficulty. Incumbents are expected to carry out projects of moderate to large size and complexity with minimal supervision.

The HPC cluster at UITS serves as the catalyst for research in computationally intensive disciplines, in alignment with the university's ambitious initiatives - UConn Technology Park, Next Generation Connecticut, and Bioscience Connecticut. The cluster has over 6,000 CPU cores, a one-petabyte parallel file system (GPFS), and an Infiniband interconnect.

The University of Connecticut has been named the top public university in New England for over a decade and is ranked among the top public universities in the nation. The University of Connecticut is also a Carnegie Foundation Research University, a prestigious honor shared by only the nation's top higher education institutions.

DUTIES AND RESPONSIBILITIES

• Install, configure, and maintain storage systems for use in a research-computing environment.
• Install, configure, and maintain parallel file systems (DDN/GPFS), as well as interaction with tiered-performance NFS.
• Monitor usage of storage resources and make recommendations to maintain service standards.
• Interact with integrated systems in an HPC environment - including job schedulers, Infiniband fabrics, etc.
• Interact with configuration, monitoring, and notification tools.
• Hardware maintenance and troubleshooting
• Interact with university researchers on various topics, including the use of existing services, service policies, and research requirements.
• Provide excellent technical support and training to a diverse user base.
• Create and maintain clear and effective technical documentation.
• Interact with vendors, assessing products and making purchasing recommendations.
• May supervise students or employees.
• Performs related duties as required.

MINIMUM QUALIFICATIONS

1. Bachelor's degree in Computer Science, Computer Engineering, or closely related field; or equivalent combination of training and experience and 2 or more years' experience in storage administration in a large scale computing environment.
2. Two or more years of recent experience managing large scale file systems, preferably parallel systems such as GPFS, Lustre, etc.
3. Experience installing and troubleshooting enterprise data storage hardware platforms.
4. Demonstrated experience using scripting/programming (Bash, Python, etc.) in support of systems operations.
5. Demonstrated commitment to providing excellent technical support to a diverse user base.
6. Good organizational skills and attention to detail along with good written and oral communications.
7. The ability to work with minimal supervision.
8. The ability to work effectively with staff and users at all levels, vendors and other technical staff as a member of a team.
9. Demonstrated ability to meet deadlines and work under pressure.
10. Demonstrated ability to lead projects.

PREFERRED QUALIFICATIONS

1. Experience working in an HPC operations team.
2. Experience in the hands-on management and troubleshooting of Linux operating systems (Red Hat, etc.) and applications.
3. Experience in systems automation (DevOps) using tools such as Ansible, Puppet, Chef, etc.
4. Maintenance and troubleshooting of an Infiniband fabric.
5. Certifications relevant to this position.

APPOINTMENT TERMS

This is a full-time, permanent position. The University offers a competitive salary, outstanding benefits, including employee and dependent tuition waivers at UConn, and a highly desirable work environment. Salary will be commensurate with the successful candidate's background and experience.

For additional information regarding benefits visit: http://hr.uconn.edu/benefits-summaries/ . For additional information about the University visit: http://www.uconn.edu/ and for detailed position information and the job description visit: http://uitsjobs.uconn.edu .

TO APPLY

Please apply online at www.jobs.uconn.edu , Staff Positions. Interested candidates should submit a letter of application and resume that demonstrate how you meet the minimum qualifications and any preferred qualifications you may have for this position, and a list of contact information, including phone numbers for three professional references. Reference search # 2018043. Screening will begin immediately.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check. (Search # 2018043)

This job posting is scheduled to be removed at September 27, 2017.

All employees are subject to adherence to the State Code of Ethics which may be found at http://www.ct.gov/ethics/site/default.asp .

The University of Connecticut is committed to building and supporting a multicultural and diverse community of students, faculty and staff. The diversity of students, faculty and staff continues to increase, as does the number of honors students, valedictorians and salutatorians who consistently make UConn their top choice. More than 100 research centers and institutes serve the University's teaching, research, diversity, and outreach missions, leading to UConn's ranking as one of the nation's top research universities. UConn's faculty and staff are the critical link to fostering and expanding our vibrant, multicultural and diverse University community. As an Affirmative Action/Equal Employment Opportunity employer, UConn encourages applications from women, veterans, people with disabilities and members of traditionally underrepresented populations.


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