Azure/AI DevOps Engineer III

Confirmed live in the last 24 hours

Veeam Software

Remote, United States

Remote

Posted April 21, 2026

Job Description

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.

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About the Role

We are looking for a Cloud Engineer to join our team and operate cloud infrastructure with a strong focus on Microsoft Azure and AI/ML-related solutions.
This role involves creating a reliable, secure, and highly automated platform (IaC) that supports AI services and workloads—from prototyping to production.

What You’ll Do

Working with the Microsoft Azure cloud platform, including designing, deploying, and optimizing infrastructure.
Contribute to the design and operation of AI-related components in Azure (depending on the team’s scope), such as:
Azure OpenAI, Azure AI Search, Azure Machine Learning, AKS for inference/serving, and event-driven integrations.
Leverage expertise in AWS and, ideally, GCP to ensure comprehensive cloud platform management.
Implement Infrastructure as Code (IaC) methodologies.
Develop scripts for automation, enhancing efficiency in cloud processes.
Collaborate with cross-functional teams in requirements analysis, solution development, and implementation to ensure high system performance and reliability.

What You’ll Bring

Experience in managing cloud infrastructure, with a focus on Microsoft Azure (AWS and GCP experience is a plus).
Experience with Azure AI services (Azure OpenAI/AI Search/AML) and operating AI workloads in production (rate limits, data security, observability).
Experience deploying secure applications in Azure: Azure Container Registry, Azure Container Apps, Application Gateway, etc
Proficiency in Infrastructure as Code (IaC) practices, utilizing tools like Terraform.
Ability to develop and maintain Python scripts.
Strong analytical and problem-solving skills to troubleshoot issues and optimize cloud infrastructure.

Bonus Skills

Understanding of DevOps principles, with experience in continuous integration and deployment.
Effective communication skills and a collaborative approach to teamwork.

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