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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 days ago
contribute to the design, development, deployment, and operation of cloud-native computing environments that support research and data-driven projects at the Renaissance Computing Institute (RENCI
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December 2032. About Us The ML Cloud team designs, runs and safeguards high-performance computing infrastructure tailored to machine learning workloads. Our state of the art systems are distributed across
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deployment practices. Experience with cloud platforms such as AWS, Azure, or Google Cloud, including compute, storage, identity management, monitoring, and managed AI/ML services. Experience deploying and
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/Professional Professional Department Information Technology Exchange Center Local Title Cloud Architect Analyst Team Lead Budget Title Supervising Programmer/Analyst Rank SL-5 Line Number TBD, 50159 Salary Range
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Chapman’s websites have consistent uptime, reasonable load speeds and are compliant with accessibility and other web standards. Develop tools and templates for Salesforce Marketing Cloud and other marketing
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incentive bonuses tied to institutional and individual performance goals. EDUCATION: Bachelor's degree in Computer Science, Information Technology, Business, or a related field is required. Master's degree
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), including prompt engineering, context management, and implementation strategies for enterprise applications. Cloud Computing: Experience deploying and scaling AI systems in cloud environments, with knowledge
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, and storage architecture for hardware, virtualized and cloud-based infrastructures and application services. Lead projects across functional teams to help develop solutions for management, monitoring
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exchange. Build, update, and maintain user interface components and integrate front-end functionality with backend APIs and workflows. Engineer backend and distributed application components using cloud
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Carl R. Woese Institute for Genomic Biology The NSF iBioFoundry operates a cloud-based biofoundry that automates basic and applied biological research using artificial intelligence and robotics. We