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required to make data driven discoveries that increase our scientific knowledge and improve the quality of life. We architect ecosystems of large-scale commons of research data, computing resources
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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
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 02-Apr-26 Location: St. Cloud, Categories: Academic/Faculty Affairs Staff/Administrative Internal Number: JOB_POSTING
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Computer (HPC) with its sizable cluster of CPUs, GPUs, storage arrays and high speed networking as well as our cloud (AWS) based Data Safe Haven, used for researchers working on sensitive data. As Research
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, wide area network connectivity and internet connectivity for the University, including research and education networks. EIS is also responsible for services related to cloud architecture and
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of on-premise server infrastructure, including Windows Server, Linux, VMware, and Hyper-V Solid understanding of Azure cloud services, including compute, storage, networking, and platform services Experience with
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computer science, Computer Applications, Engineering or related field At least 8 years of relevant experiences in similar role / technical hands-on experience with distributed systems, cloud platforms, and real-time
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degree in computer science/engineering/informatics or other technical fields. 3+ years of professional experience in cloud engineering, DevOps, or MLOps. Strong understanding of cloud infrastructure
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integration across identity management, research computing platforms, AI/ML workloads, and a growing portfolio of cloud-native and hybrid applications. This hands-on technical leadership role requires deep
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University Information Technology (HUIT), school CIOs, research computing teams, and central administration to support one of the most technology-intensive academic environments in the world. Responsible