Systems Engineer II

As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive.

Job Location (Full Address):

250 Hutchinson Rd, Rochester, New York, United States of America, 14627

Opening:

Worker Subtype:

Regular

Time Type:

Full time

Scheduled Weekly Hours:

40

Department:

100905 CIRC

Work Shift:

UR - Day (United States of America)

Range:

UR URG 114

Compensation Range:

$86,482.00 - $129,723.00

The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.

Responsibilities:

GENERAL PURPOSE
Shares responsibility for management and administration of advanced on-premise and cloud-based computing, networking and storage for research. In addition to administering servers and virtual systems, manages advanced computing architectures, specialized high-speed network technology, and massive parallel file systems engineered for high-volume and high-velocity data for research. Assists in the deployment and management of specialized tools for configuring and controlling research computing environments. Responsible for the shared design, setup, and maintenance of a University-wide research computing infrastructure with monitoring and security, and assists with communication regarding advanced research technology solutions with faculty from several departments, centers, and schools.

ESSENTIAL FUNCTIONS

• Analyzes research use case requirements, designs solutions, and deploys on premise or cloud based advanced infrastructure for University-wide research computing involving application areas of existing and emerging areas of high-performance computing, including artificial intelligence, big data, modeling, and simulation.
• Designs, develops, deploys, and maintains systems that require creative assembly of specialized computing, advanced network and parallel file system infrastructure.
• Leverages specialized infrastructure to deploy research computing solutions that are typically unconventional or unorthodox in traditional information technology environments.
• Performs proactive performance monitoring of high-performance computing and supporting resources, including the analysis, alerting, reporting, and tuning of computational accelerators, high-bandwidth and low-latency networks, parallel file systems, and scheduling/resource management software. Provides capacity analysis, maintenance and troubleshooting activities for advanced infrastructure in the research computing environment.
• Thinks creatively to respond to performance issues, system errors, and maintenance that are outside of standard information technology process controls and procedures.
• Creates, reviews, and maintains technical documentation, including solution designs and reference guides for institutional-wide research computing infrastructure.
• Prepares necessary paperwork and documentation to ensure compliance with federal funding agency standards and procedures.
• Participates in discussions of new products and services to enhance the delivery of research computing infrastructure.
• Engages vendors as appropriate.
• Maintains a broad knowledge of advanced technology, specialized equipment, and security and research compliance requirements.
• Remains mindful and vigilant of risks to the research enterprise while consulting with faculty, performing work, and planning activities.

Other duties as assigned.

MINIMUM EDUCATION & EXPERIENCE

• High School diploma or equivalent and 5 years of related experience required
• Bachelor's degree in related discipline such as Computer Science, Business, Data Science, Engineering required
• Or equivalent combination of education and experience
• Experience in higher education field or a healthcare environment

KNOWLEDGE, SKILLS AND ABILITIES

• Knowledge of high-performanceance computing hardware and software required
• Knowledge of research networking and research storage solutions required
• Expertise with virtualization technology and cloud providers, such as Amazon Web Services and Microsoft Azure, required