558 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "St" positions at University of Virginia
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, Computer Science, or a related field (or equivalent combination of education and experience). At least 2+ years of experience supporting enterprise technology systems in a customer-facing environment. Experience
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server, storage, and private cloud platforms that power the University’s academic, research, and administrative systems. Our team delivers secure, resilient, and cost-effective infrastructure solutions
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science, mathematics, engineering, technology, and computer science education. The post doc will work closely with the Global Center for Equitable Computer Science Education, receiving mentorship in
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, enterprise applications, cloud computing, and information risk management and compliance frameworks preferred. Ability to communicate via written and verbal communication in both formal and casual situations
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, applications, identity, and cloud. Excellent communication and interpersonal skills tailored to diverse technical audiences. Preferred: Advanced degree in Computer Science, Cybersecurity, or related field. 8
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the foundational technology, applications, services, and infrastructure that enable the University’s teaching, research, and administrative functions. The IT Project Management Office (IT PMO) provides Program and
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. Strong understanding of information security concepts, protocols, industry best practices and regulatory requirements with knowledge of networking, enterprise applications, cloud computing, and information
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in University-approved technology platforms, including Cvent, Eventbrite, BlackThorn, Marketing Cloud, InfoReady, among others Be proficient in using the University’s customer relationship management
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response procedures. Project & Stakeholder Management Lead major infrastructure and service improvement projects including campus network upgrades, wireless expansion, and cloud connectivity. Engage with
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transformation logic for transparency Explore AI and LLM tools for future enhancements to data access and insight delivery Minimum Qualifications Education: Bachelor’s degree in Computer Science, Data Science