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, 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.

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.

Unlimited paid time off, 12 paid holidays, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
Medical, dental, and vision coverage starting on your first day
Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program
401(k) retirement plan with company matching contributions
Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time
AirVet: 24/7 virtual veterinary care at no cost
Legal services, identity protection, and supplemental health insurance options
Tax-advantaged spending accounts for healthcare, dependent care, and commuting
Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Azure/AI DevOps Engineer III

Key skills