930 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" uni jobs in United States
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of Job Duties: The Lead Analytics Solutions Engineer provides technical leadership for the design, development, and ongoing operation of the University’s cloud-based data lake and warehousing environment
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sensors, mobile/cloud apps, eye tracking, activity and sleep monitoring). Supports studies involving participants with chronically implanted electrodes or neurostimulation devices, including coordination
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scalable, cloud-ready architectures to support public-facing platforms and internal tools Integrate databases, data pipelines, and external services to support AI workflows Ensure performance, security, and
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, debugging), including CI/CD, containerization (Docker, Kubernetes), and robust debugging techniques. Experience with cloud platforms (AWS, GCP, or Azure) and parallel computing, with a focus on cost-efficient
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, moving from legacy on-premises infrastructure toward hybrid and cloud-native solutions (Azure/Entra ID). Manages software licensing (Microsoft EA), hardware lifecycles, and support staff. Defines necessary
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, to align with ERP transformation program goals, industry best practices,and technical standards (e.g., NIST). Design end-to-end ERP systemarchitecture, including integration with existing in-house custom
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of our growing online program offerings. Working with faculty, the Administrator of Online Education maintains course content and learning assets in the University's Learning Management System (LMS) and
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of our growing online program offerings. Working with faculty, the Administrator of Online Education maintains course content and learning assets in the University's Learning Management System (LMS) and
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and the core values that are critical for the long-term strategic growth of our division and the university. For more information, please visit https://finance.rutgers.edu/ Posting Summary Rutgers
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administration. Experience supporting federal, DoD, or research institutions. Familiarity with cloud platforms (AWS, Azure, GCP). Master's degree in computer science, Computer Engineering, OR Data Science and two