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serves as a technical security professional, supporting secure research computing and cloud environments used by the University community. This position is responsible for implementing, administering
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, AI services and data workflows across supercomputing, cloud and quantum computing environments. You will work closely with our researchers and international partners from academia, industry and
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individual researchers and research groups to aid adoption and application of secure cloud resources (AWS, GCP, Azure) to support research. *Participates in the architecture, design, and capacity
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and cloud computing environments, including infrastructure-as-a-service, platform-as-a-service, containers, serverless computing, managed database services, and other cloud-native technologies as
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University’s hybrid IT ecosystem, including cloud platforms, on-premises infrastructure, network services, data center, research computing, and enterprise hosting environments. This role is
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, endpoint teams, cloud teams, and application owners on platform adoption and service integration. Identify opportunities to consolidate redundant tooling, reduce operational fragmentation, and improve
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designs, develops, tests, deploys, and maintains software applications, platforms, and services that support advanced research, artificial intelligence, cloud computing, and data infrastructure
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, contributing to inform cloud architecture decisions, providing technical expertise, and helping drive adoption of best practices across engineering and external application teams. Manage and optimize Azure
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, operating and scaling scientific software, AI services and data workflows across supercomputing, cloud and quantum computing environments. You will work closely with our researchers and international
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-performance computing solutions in our datacenters and the cloud. Engage with researchers to understand how HPC can enhance and transform their work. Proactively pursue efficient and collaborative