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Azure Automation Jobs in Atlanta, GA (NOW HIRING)

Azure Infrastructure Engineer

Cumming, GA · On-site

$95K - $125K/yr

REMOTE Role Overview The Enterprise Automation Team is seeking a skilled Azure Infrastructure Engineer to design and support enterprise cloud and hybrid infrastructure solutions. This role will ...

Must have strong knowledge of automation, source control, configuration management, deployment automation, and CI/CD pipeline stacks (Azure DevOps preferred). * Must have strong knowledge of shell ...

Azure Infrastructure Engineer

Smyrna, GA · On-site

$105K - $137K/yr

Automate routine administrative tasks using PowerShell and other automation tools. Required Qualifications * 6+ years of experience in Azure administration, cloud infrastructure engineering, systems ...

Automation and Scripting: Assist in creating and maintaining automation scripts and tools to ... Knowledge of Azure networking services such as Azure Virtual WAN, VNETS, management of Azure ...

Automation and Scripting: Assist in creating and maintaining automation scripts and tools to ... Knowledge of Azure networking services such as Azure Virtual WAN, VNETS, management of Azure ...

Job Summary: The QA Automation Tester will design, develop, and execute automated and manual ... Azure DevOps and GitHub for development, test management, and collaboration. • Apply BDD testing ...

Azure Engineer

Woodstock, GA · On-site

$50.25 - $67/hr

The ideal candidate has a strong background in Azure infrastructure and end-user computing technologies and understands how identity, networking, security, endpoint management, automation, and ...

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Azure Automation information

See Atlanta, GA salary details

$29.8K

$112.1K

$163K

How much do azure automation jobs pay per year?

As of Sep 6, 2026, the average yearly pay for azure automation in Atlanta, GA is $112,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $133,700.00 per year, depending on experience, location, and employer.

What is Azure Automation?

Azure Automation is a cloud-based service provided by Microsoft Azure that allows users to automate, configure, and manage tasks across Azure and non-Azure environments. It enables the automation of repetitive processes using runbooks (PowerShell or Python scripts), configuration management, and update management. This helps organizations reduce manual errors, save time, and improve operational efficiency. Azure Automation can be used to deploy resources, manage updates, and orchestrate complex workflows across hybrid cloud environments.

What are the key skills and qualifications needed to thrive as an Azure Automation engineer?

To thrive as an Azure Automation Engineer, you need expertise in cloud computing, scripting languages like PowerShell or Python, and a solid understanding of Azure services, typically supported by certifications such as Microsoft Certified: Azure Administrator Associate. Familiarity with Azure Automation, ARM templates, CI/CD pipelines, and monitoring tools is crucial for managing and deploying cloud resources efficiently. Strong problem-solving skills, attention to detail, and effective communication help engineers collaborate across teams and resolve complex automation challenges. These skills ensure the reliable, scalable, and secure automation of IT workflows, which is essential for operational efficiency in cloud environments.

What are some typical challenges faced by professionals working in Azure Automation roles, and how can they be addressed?

Professionals in Azure Automation often encounter challenges such as keeping up with frequent platform updates, managing complex workflows across hybrid environments, and ensuring robust security for automated processes. Adapting to new features and changes requires continuous learning and proactive monitoring of Azure's documentation and community forums. Collaborating closely with development, operations, and security teams helps ensure that automation scripts are reliable, well-documented, and aligned with organizational standards.

What is the difference between Azure Automation vs Azure DevOps Engineer?

AspectAzure AutomationAzure DevOps Engineer
Primary FocusAutomating cloud management tasks and processes in AzureDeveloping, implementing, and managing DevOps practices and CI/CD pipelines in Azure
Required SkillsAzure services, scripting (PowerShell, Python), automation toolsDevOps tools, Azure DevOps, scripting, CI/CD, infrastructure as code
CertificationsAzure Administrator, Azure DeveloperAzure DevOps Engineer Expert, Azure Solutions Architect
Work EnvironmentCloud automation, scripting, Azure portalSoftware development lifecycle, collaboration, Azure DevOps platform

Azure Automation focuses on automating cloud management tasks within Azure, while Azure DevOps Engineer specializes in building and managing development pipelines and DevOps practices. Both roles require scripting skills and Azure certifications but serve different aspects of cloud and software development management.

What does Azure Automation do?

Azure Automation is a service that allows job roles like Azure Automation engineers to automate repetitive tasks and manage cloud resources efficiently using runbooks, scripts, and workflows. It helps improve operational efficiency, reduce manual effort, and ensure consistent configuration across environments.

What jobs can I get with Azure Automation?

Jobs related to Azure Automation include roles such as Cloud Engineer, DevOps Engineer, Systems Administrator, and Cloud Solutions Architect. These positions typically require skills in cloud management, scripting, and automation tools, and often involve managing cloud infrastructure, deploying automation workflows, and optimizing cloud operations.

What are popular job titles related to Azure Automation jobs in Atlanta, GA?

For Azure Automation jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Azure Automation jobs in Atlanta, GA look for?

The top searched job categories for Azure Automation jobs in Atlanta, GA are:

Infographic showing various Azure Automation job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 4% Part Time, and 5% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution, with an average salary of $112,136 per year, or $53.9 per hour.

.NET MLOps Specialist (ML.NET & Azure ML) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$53.75 - $66.75/hr

Full-time

Medical, Retirement, PTO

Re-posted 4 days ago


Job description

Overview:
.NET MLOps Specialist (ML.NET & Azure ML)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a proficient .NET MLOps Specialist to streamline machine learning workflows using ML.NET and Azure ML. This role focuses on integrating MLOps practices with .NET and C# for efficient model deployment and management.
Key Responsibilities
  • Develop machine learning pipelines using ML.NET and C# to train, evaluate, and deploy models.
  • Integrate ML models into production systems with Azure ML for scalable inference and monitoring.
  • Automate model deployment and updates using MLOps practices and CI/CD pipelines with Azure DevOps.
  • Collaborate with data scientists to optimize ML workflows and ensure model accuracy and performance.
  • Manage model versioning, governance, and monitoring within .NET applications.
  • Ensure security and compliance of ML models in production environments.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience in .NET and C# development with a focus on machine learning and MLOps.
  • Proficiency in building ML pipelines with ML.NET and deploying models using Azure ML.
  • Experience with MLOps practices, including model deployment, monitoring, and CI/CD automation.
  • Strong understanding of integrating ML models into production applications.

Preferred Qualifications
  • Familiarity with Azure DevOps for automating MLOps workflows and pipeline orchestration.
  • Exposure to advanced ML frameworks like TensorFlow or PyTorch for integration with .NET applications.
  • Knowledge of cloud-based data preprocessing tools like Azure Data Factory for ML pipelines.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
.NET, ML.NET, Azure ML, MLOps, Model Deployment, DevOps, C#, Machine Learning