Azure/AI DevOps Engineer III

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient. The role involves operating cloud infrastructure with a strong focus on Microsoft Azure and AI/ML-related solutions, creating a reliable and automated platform that supports AI services and workloads.

Responsibilities:

• 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

Requirements:

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