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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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Workflows Experience with infrastructure automation Cloud engineering experience with at least one cloud service provider Experience with reusable, automated workflows such as PagerDuty playbooks Special
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-cloud networking and security, including Palo Alto VM-Series or cloud-native firewall integrations. Experience working in a federal government, DOE, national laboratory, research, critical-infrastructure
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, or cloud certifications. Special Requirements: Visa sponsorships: Visa sponsorship is not available for this position. Physical Requirements: Work may involve various physical requirements and working
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execution workflows for automated analytic systems. Experience with Docker, Linux, cloud platforms, or other technologies supporting deployment and reproducible software workflows. Experience coaching team
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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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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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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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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