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architecture and management and operating system level maintenance. The team provides systems, storage, identity, and cloud management services. Position Summary The Infrastructure Team Lead serves as the senior
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instruments, data systems, and AI/optimization tools in cloud and local environments. Develop and maintain backend services, APIs, experiment-submission tools, and user-facing applications for SPEED. Integrate
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service that enables world-class research, supports innovation and helps researchers make effective use of advanced computing, cloud, software and data capabilities. Working closely with the Director of IT
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, access management, governance, security, and platform configuration. • Comfortable working with cloud data sources such as Azure SQL, Cosmos DB, Blob Storage, Dataverse, and other Microsoft 365 data
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also excited by the opportunity to build and grow a team in a dynamic academic environment. They will have significant technical expertise in one or more of the following areas: cloud computing, database
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analysis of operational data generated by software delivery and DevOps workflows. The postholder will work with data from sources including GitHub Actions, CI/CD pipelines, cloud infrastructure, logs
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NLP pipelines using clinical data. - Assist with front-end and back-end engineering for digital health applications. - Assist with building and maintaining secure, scalable cloud infrastructure
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computing and information systems to develop, manage, and support sophisticated IT services including server and cloud services. They play a pivotal role in maintaining the operational excellence of UB
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University of Tennessee Medical Center at Knoxville | Knoxville, Tennessee | United States | 2 days ago
management activities. Security Engineering & Infrastructure Protection Direct security engineering activities supporting enterprise infrastructure, cloud services, applications, and data platforms
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of London’s operations. The programme is building a secure, cloud-native AI platform on Microsoft Azure and Kubernetes, which will serve as the university’s central capability for deploying LLM-powered agents