Research Computing System Engineer

Charlottesville, VA
May 16, 2017
Institution Type
Four-Year Institution

Working Title: Research Computing System Engineer

Position Type: University Managerial and Professional Staff

Department: Information Technology Services

Location: Charlottesville

Posting Date: 05-15-2017

Posting Summary:
The University of Virginia has recently embarked upon an ambitious effort to improve its research computing infrastructure. The initiatives over the past several years include deployment of a large-scale high-performance computing cluster and a secure virtual-environment data analytics platform; provision of centralized multi-tiered storage solutions; and a recent upgrade of the campus network backbone.

This much enhanced cyberinfrastructure has set the stage for unprecedented growth in research activity. In order to capitalize on the momentum and to accelerate future scientific breakthroughs using our state-of-the-art computing environment, the university is assembling a world-class team of highly skilled individuals in advanced research computing fields.

The Research Computing Engineer will play a critical role in building the research infrastructure to support the University's academic research facilities. Responsibilities will include design, operation and technical support of academic research computing infrastructure. The position will work with other ITS teams, and in cooperation with UVA's other research computing services. A strong customer service ethos and excellent written and oral communication skills are required.
Primary responsibilities include architecting, maintaining, operating, and improving our secure local computing platform at the University of Virginia. This system handles research computing and data management/sharing for data subject to HIPAA and FERPA compliance, with FISMA compliance on the horizon. Challenges that arise in this project include secure user onboarding, VMware automation, software provisioning and profiles, and establishing secure data sharing mechanisms for on/off-site collaborations.

Required Knowledge, Skills and Abilities:
- Demonstrated strong customer communication and collaboration skills.
- Strong and demonstrated problem-solving skills.
- Demonstrated ability to learn new technologies quickly and apply the knowledge effectively to improve research computing infrastructure at UVA
Eligibility to work with ITAR and FISMA data.

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