Azure AI Cloud Engineer

Role Overview:

As the Azure Cloud Engineer with exposure to GCP, you will play a critical role in designing, implementing, and optimizing scalable and resilient cloud infrastructures on Azure platforms. This position requires deploying, automating, and maintaining cloud-based applications, services, and tools with a specific focus on AI and Data platform infrastructure, ensuring high availability, security, and performance. The ideal candidate will possess extensive knowledge of Azure services and architecture best practices, hands-on expertise with infrastructure-as-code (preferably Terraform), and a keen interest in AI/ML workload enablement, automation, monitoring, and troubleshooting.

Main Responsibilities

Key responsibilities include:

• Designing and implementing secure, scalable, and highly available cloud infrastructures using GCP/Azure services with a focus on AI, Analytics, and data-intensive workloads.
• Developing automated deployment pipelines using Infrastructure-as-Code tools such as Terraform, ensuring efficient and consistent infrastructure deployments.
• Managing security practices to ensure data protection and compliance with industry standards.
• Provisioning and managing Azure AI and Data platform components to support AI exploration and production deployment.
• Collaborating with data science and engineering teams to design governed AI environments that accelerate model development.
• Utilizing AI tools and practices to enhance productivity in coding, debugging, and documenting infrastructure.
• Maintaining comprehensive documentation of infrastructure architecture and configurations.
• Collaborating with cross-functional architects to facilitate quick MVP development.
• Staying updated with new GCP/Azure services and providing recommendations for improvements.

Key Requirements

• Bachelor's degree in information technology, Computer Science, or related fields; Master's degree or relevant certifications preferred.
• Minimum of 5 years in cloud engineering or related fields, with experience in data or AI/ML.
• Proven experience with GCP/Azure services, including various storage and compute services, as well as experience deploying Azure AI services.
• Hands-on experience with Infrastructure-as-Code tools, notably Terraform.
• Strong scripting skills in Python, Bash, or PowerShell.
• Familiarity with CI/CD tools and cloud networking fundamentals.
• Proficiency in monitoring and logging tools.
• Familiarity with agentic AI systems is a plus.

Nice to Have

• Certification in GCP/Azure platforms.
• Experience with cybersecurity principles and frameworks.
• Familiarity with DevOps practices and methodologies.

Other Details

This position is based in Koregaon Park, Pune, and follows a hybrid working model, requiring in-office attendance three days a week. Work hours align with the CET time zone (9 hours).