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activities. Designing or modernizing enterprise Linux environments and introducing emerging technologies. Relevant Linux, automation, cybersecurity, virtualization, or cloud certifications. Special
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. Experience working with satellite remote-sensing data such as Landsat, Sentinel, MODIS, SAR, LiDAR, or derived land-cover and vegetation product, and experience with in-the-cloud image processing Experience
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technical customer engagements, including High Performance Computing, Cloud Computing, DevOps practices and Software Development. Collaborate with experts to anticipate and plan for emerging IT services
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development lifecycle from planning to operations. Understanding of cloud and cloud-native technologies and infrastructure-as-code for automated deployment for distributed systems. Experience in software
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performance and scalability both on-premise and in the cloud. • Provide reports as requested, such as major accomplishments or staffing per project. • Evaluate and document new tools/trends to set path forward
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models, and hybrid deployments spanning on-premises HPC resources, controlled networks, and approved cloud services—ensuring these systems meet ORNL’s requirements for scale, security, reliability, and
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or NoSQL) Preferred Qualifications: Exposure to geospatial tools/data (e.g., PostgreSQL/PostGIS, GDAL) Exposure to cloud or container technologies (e.g., Docker, Docker Compose, Kubernetes) Understanding
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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
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BI and/or similar technologies. Experience deploying and supporting applications within cloud-based environments such as Azure, AWS, or equivalent platforms. Experience deploying and supporting
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at scientific edge systems using large-scale HPC/AI computational and storage systems. Design and evaluation of ephemeral, user-configurable, and composable data and storage systems. Evaluation of cloud data