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(Senior Enterprise Engineer - Data Management Team) proactively manages, maintains, and influences UI Health's Enterprise computing environment which includes on premises and cloud computing systems and
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required to make data driven discoveries that increase our scientific knowledge and improve the quality of life. We architect ecosystems of large-scale commons of research data, computing resources
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to apply for the role of Cloud / Systems Administrator (Cloud Computing Engineer II) within Research and Discovery Technologies. This position will work closely with the University Export Control
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About us Our goal is to be the leading IT services group in the HE sector and we are growing our team’s capability in experience/UX, agile development, security, cloud, service management and
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 3 days ago
Experience / Education: Bachelor's degree in computer science, computer engineering, information security, or other closely related field, and 2+ years of relevant work experience; or An equivalent combination
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learning, administration, and healthcare. UIT is embarking on a long-term strategy to plan, replace, and implement new cloud-based solutions for several enterprise-wide systems. UIT seeks an experienced
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support cloud platforms (Azure preferred), including provisioning, monitoring, backup, and lifecycle management Maintain and optimize virtualization environments, including VMware compute and capacity
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campus, research, and cloud environments Oversee incident and problem management for network services, ensuring effective resolution, clear stakeholder communication, and professional documentation
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Technology and Computing Services (ITCS) is the central agency that supports enterprise-wide computing at East Carolina University. ITCS, through innovative information technology initiatives and service, provides
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). Develop robust, reproducible and reusable Python code for model training, inference, and large‑scale computational experiments. Run and manage high‑throughput workloads on HPC or cloud infrastructure