13 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at University of Illinois at Urbana Champaign
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, deployment, and ongoing enhancement. Working within a modern cloud environment, this role leverages AWS services and cloud-based workflows to ensure WebTools remains scalable, resilient, and responsive
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projects involving spatial big data, high-performance computing, and cloud-based geospatial analytics Develop and maintain reproducible workflows, code repositories, technical documentation, and project
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Program. This position is eligible for all sponsorship for work authorization options. For more information on Civil Service classifications, please visit the SUCSS web site at https
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in a relevant field, including Computer Science, Engineering, Information Technology, or other relevant field. Experience managing or integrating with cloud hosted tools/applications. Experience with
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experience with Linux research computation/cluster computing (e.g. SLURM, HTCondor). Specialist Preferred Qualifications Experience managing Linux servers and Windows servers. Experience managing cloud
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: Bachelor’s degree or higher in information technology, computer science, or related field. Experience with Apple OS and iOS in an enterprise environment. Experience with Cloud services and architecture in
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and college faculty to prepare and maintain course materials on the online learning management system. Manage and maintain efficient record-keeping of all course documents on a cloud-based content
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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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available for this position. System Office jobs such as this one are not eligible for the Referral Program. For more information on Civil Service classifications, please visit the SUCSS web site at https
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data handling in education, workforce, health, or government contexts (FERPA, HIPAA, IRB). • Experience with ETL pipelines, data lakes/warehouses, cloud computing (e.g., AWS, Azure, GCP), and API