Senior Azure Cloud Engineer

Azure Cloud Operations and AI Enablement

• Provide technical expertise across Azure services, including IaaS, PaaS, and Azure AI services
• Design, build, maintain, and automate Azure environments using tools such as Azure Virtual Machines, Azure AI services, Azure Machine Learning, Azure OpenAI, and Terraform
• Implement and maintain Infrastructure as Code (IaC) to support consistent and repeatable deployment of Azure environments
• Support integration of AI services into Azure environments, ensuring proper configuration, access, and performance
• Configure Azure environments to support workloads with varying requirements related to data handling, access, and performance
• Optimize Azure-based AI/ML workflows for scalability and cost efficiency
• Develop and test disaster recovery (DR) and business continuity strategies for Azure workloads
• Monitor and maintain Azure environments to ensure alignment with operational and project-specific requirements
• Continuously improve Azure engineering practices to support efficient delivery across a growing portfolio of workloads

Environment Delivery, Coordination, and Support

• Coordinate with networking, cybersecurity, and application teams to ensure Azure environments are properly configured and accessible
• Support end-to-end delivery of Azure environments, including design, provisioning, validation, and troubleshooting
• Validate connectivity, access, and functionality across Azure resources (e.g., DNS, routing, private endpoints)
• Troubleshoot and resolve issues related to Azure services, connectivity, and environment configurations
• Support onboarding of application and research teams to Azure environments, ensuring usability within established constraints
• Contribute to documentation, runbooks, and knowledge sharing to improve consistency and reduce delivery friction

Communication and Collaboration

• Demonstrate strong communication and collaboration skills across technical and non-technical stakeholders
• Serve as a subject matter expert (SME) for Azure cloud services and AI-enabled solutions
• Educate and guide teams on best practices for Azure deployments and AI service usage
• Collaborate with stakeholders to support evolving requirements across Azure workloads
• Apply strong problem-solving skills to address complex Azure-related challenges
• Exhibit excellent interpersonal, written, and presentation skills to effectively collaborate with internal teams and external stakeholders
• Proactively address incidents, identify root causes, resolve issues, and implement preventive measures
• Educate and train teams on implementing new Azure and AI-based initiatives, ensuring adoption of best practices
• Cultivate positive relationships with industry leaders and stakeholders to keep the organization at the forefront of cloud and AI innovations
• Employ exceptional problem-solving skills to identify and resolve cloud and AI-related issues before they impact productivity
• Serve as a subject matter expert (SME) for Azure and AI solutions, driving strategic initiatives and fostering collaboration across teams

Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote diversity, equity, inclusion, and accessibility by encouraging a respectful workplace—in how we treat one another, work together, and measure success.

Basic Qualifications

• A BS in business, computer science, computer engineering, electrical engineering, systems analysis, or a related field, with 8+ years of experience in cloud computing technologies. Equivalent combinations of education and experience may be considered.
• Proven experience with Azure Cloud and cloud infrastructure, including firewalls, load balancers, DNS, and networking concepts.
• Expertise with virtualization technologies such as VMware vCenter and vSphere.
• Proficiency in scripting and automation tools, including Terraform, PowerShell, Ansible, Python, and familiarity with cloud automation frameworks.

Preferred Qualifications

• An advanced degree in business, computer science, computer engineering, electrical engineering, systems analysis, or a related field, with 7+ years of experience in cloud computing technologies.
• Azure certifications, such as Azure Solutions Architect Expert or Azure AI Engineer Associate.
• Familiarity with Azure OpenAI and AI/ML frameworks.
• Experience in database architecture, ETL, business intelligence, big data, machine learning, and advanced analytics.
• Strong understanding of authentication, authorization, identity, and access management.
• Familiarity with hybrid cloud deployments and solutions addressing data challenges across multiple cloud environments.
• Ability to work independently on complex issues and collaboratively within a team environment.
• Strong ability to present technical concepts in a clear, user-friendly, and approachable manner.