Back
Tier-1 employer plus broad multi-cloud and AI/IaC requirements yields moderate applicant competition.
Specialized multi-cloud, IaC, and AI deployment skills limit cross-industry transferability.
Requires mandatory multi-cloud operations, IaC, security, and AI-service expertise, increasing screening strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Manage and optimize multi-cloud infrastructure including compute, storage, networking, and container resources across Azure, AWS, and GCP.
Deploy, support, and monitor AI/ML workloads using cloud-native AI services ensuring secure, compliant, and scalable operations.
Develop automation scripts and implement Infrastructure as Code (IaC) and CI/CD pipelines to improve operational efficiency and support cloud and AI service deployment.
Bachelor’s degree in Computer Science, Information Technology, or related field.
Strong experience in cloud operations across Azure, AWS, and GCP with proficiency in PowerShell, Python, and Terraform.
Mandatory on-site work requirement: 5 days in office; rotational shifts or On-Call support may be required.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in managing AI/ML workloads with hands-on knowledge of Azure AI Foundry, Azure OpenAI, AWS Bedrock, and GCP Vertex AI services.
Skilled in cloud security best practices including IAM, encryption, monitoring and compliance with regulatory standards.
Able to collaborate with cross-functional teams and mentor junior engineers, contributing to documentation and knowledge base development.