119 cloud-computing positions at Oak Ridge National Laboratory in mechanical-engineering
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design, operate, and continuously improve monitoring solutions across on-premises, cloud, and containerized environments. The IOC provides 24/7/365 monitoring and operational support for ORNL’s enterprise
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offered a salary at or near the top of the range for a position. Link to benefits. https://jobs.ornl.gov/content/Benefits/?locale=en_US Overview: The National Center for Computational Sciences (NCCS) at Oak
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. Basic Qualifications: BS degree in computer science, information technology, cybersecurity, engineering, or a related discipline, with 8 years of professional experience. An equivalent combination
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the design, evolution, and modernization of secure computing environments supporting some of the nation’s most consequential national security, intelligence, and scientific missions. This is more than a
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reproducible computational workflows that improve the processing, integration, and interpretation of imagery, geospatial, and operational datasets. The successful candidate will assess research and operational
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advance the secure computing environments behind some of the nation’s most consequential national security, intelligence, and scientific missions. You’ll have genuine ownership over mission-critical
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areas including information retrieval, distributed computing, large-scale system design, networking and data storage, artificial intelligence, and data processing workflows. Our staff need to be flexible
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, mathematicians, physicists, computer scientists, and engineers Contribute to research, development, integration, testing, and deployment across areas such as spatial computing, real-time data platforms, and
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Requisition Id 16785 Overview: We are hiring a DevOps Engineering Support Team Leader in the Research IT Infrastructure Group of the Research Computing Support Division in the Information Technology
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are heavily centered on Microsoft Azure and related AI cloud technologies with High Performance Computing (HPC) for on premise AI environments and Azure, AWS, and GCP for off premise environments. Major