Senior Azure Cloud Engineer

# Senior Azure Cloud Engineer

Founded in 1999 in the beautiful Smoky Mountains of East Tennessee, Cadre5 provides innovative technical solutions to our customers locally and nationally. Our Cadre5 Lab Partners division has partnered with the Digital Platform Services Group of the Digital Services Infrastructure & Operations Division of the Information Technology Services Directorate (ITSD) at Oak Ridge National Laboratory (ORNL) to recruit a Senior Azure Cloud Engineer with expertise in the design, implementation, and operational support of Azure-based solutions, including environments that integrate AI services. The ideal candidate will have strong experience across Azure platforms and the ability to apply standardized patterns while adapting to workload-specific requirements.

ORNL delivers scientific discoveries and technical breakthroughs needed to realize solutions in energy and national security and provides economic benefit to the nation. This premier research institution located near Knoxville in Oak Ridge, TN, addresses national needs through impactful research and world-leading research centers.

*\*\*Please note: The first step in the interview process requires candidates to join a Microsoft Teams meeting with the video turned on.\*\**

This is a full-time, permanent position that can telecommute. Occasional travel to the Oak Ridge facility may be required.

# Why Cadre5?

• Working with highly talented team members
• 3 weeks’ vacation
• Excellent medical insurance, including employer-paid benefits

## The Role

• Collaborate with cross-functional teams to design, implement, and optimize Azure-based cloud environments and AI-enabled solutions
• Support delivery of multiple concurrent Azure workloads, ensuring environments are properly configured, accessible, and aligned with requirements
• Define and enforce best practices for Azure deployment, configuration, and AI service integration
• Provide guidance and mentorship to teams, supporting adoption of Azure and AI capabilities
• Ensure performance, scalability, and reliability across Azure environments supporting both application and AI workloads
• Manage and secure Azure environments in compliance with organizational and federal requirements

## Job Responsibilities:

• 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

## 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.
• The ability to obtain and maintain a Department of Energy "Q" clearance may be required, therefore US Citizenship is required.

## 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.

Benefits

Cadre5 offers excellent pay and benefits, to include full medical, dental, and vision coverage coupled with 401K match, 15 days PTO, and 10 holidays.

*Cadre5 is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. Cadre5 is an E-Verify Employer.*