Senior Azure AI Cloud Engineer

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Description

Introduction & Summary As the Senior Azure Cloud Engineer with GCP exposure, you will be responsible for the design, implementation, and optimization of scalable cloud infrastructure on Azure platforms. This position emphasizes deploying and maintaining applications focused on AI and Data platforms, ensuring high availability, security, and performance. The ideal candidate will demonstrate strong knowledge of Azure services, hands-on infrastructure-as-code expertise, particularly with Terraform, and a passion for enabling AI/ML workloads. Main Responsibilities Design and implement secure, scalable cloud infrastructure using Azure services with a focus on AI workloads. Develop automated deployment pipelines using Infrastructure-as-Code tools like Terraform. Implement security practices such as Identity and Access Management and network security. Design and manage Azure AI and Data platform components to support AI projects. Collaborate with data science and engineering teams for effective model development environments. Utilize AI tools to enhance infrastructure operations and troubleshooting. Create and maintain documentation of infrastructure configurations. Collaborate with architects and managers for expedited MVP developments. Stay updated with new Azure services and provide recommendations for improvements. Key Requirements Bachelor's degree in IT, Computer Science, Business Administration, or related field; Master's degree or certifications preferred. Minimum of 8 years

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