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and external stakeholders in support of the UChicago research ecosystem. The ideal candidate has a deep understanding of Oracle Cloud and research administration systems. The job leads cross functional
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high performance compute environments (cloud-based and slurm/lsf clusters) and model deployment platforms (e.g., Kubernetes, AWS SageMaker, Google Vertex AI, HF Inference). Experience with distributed
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tools. Experience with high performance compute environments (cloud-based and slurm/lsf clusters). Clear, proactive, and efficient communication style to manage multiple needs and stakeholders involved in
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systems design, IT support, media asset management, cloud storage, cybersecurity, and disaster recovery planning. We collaborate closely with Creative Studios, Operations, and product engineering teams
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in Microsoft Excel. Skill and knowledge of computer tools including MS Office. Familiarity with Oracle Cloud. Thorough knowledge of accounting principles and accounts payable practices/techniques
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knowledge of existing and emerging technologies, including public cloud offerings from Amazon Web Services, Microsoft Azure, and Google Cloud. Acts as a technical consultant and resource for faculty research
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practices (Agile, DevOps/CI-CD, cloud-forward architectures), champions data governance and integration standards, and fosters a culture of service, learning, and inclusion. Responsibilities Provides vision
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, and documentation aligned with UW and UW Medicine guidelines • Evaluate, select, and implement appropriate technologies, frameworks, and cloud services to meet evolving institutional needs Data
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Job Description This position will support the Transportation Data Equity Initiative project within the Taskar Center sponsored by the USDOT program. This innovative data infrastructure project
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; • analyze the role of Cloud Computing as an enabler for the introduction and development of emerging technologies such as quantum solutions; • examine the development of Cloud Computing services dedicated