Multi-Cloud AI DevOps Engineer

Role: AI DevOps Engineer (Multi-Cloud)

Responsibilities:

• Design, deploy, and manage AI/ML applications across Azure, AWS, and GCP.
• Build and maintain CI/CD pipelines for cloud and AI workloads.
• Automate infrastructure using Terraform and Infrastructure as Code (IaC).
• Manage Kubernetes clusters (AKS, EKS, GKE) and containerized applications.
• Monitor system performance, security, scalability, and reliability.
• Collaborate with development, data, and cloud teams to deliver end-to-end solutions.

Required Skills:

• Azure, AWS, and GCP
• Docker, Kubernetes
• Terraform
• GitHub Actions / Azure DevOps / Jenkins
• Python, Bash
• MLOps tools (MLflow, Kubeflow, Azure ML, SageMaker, Vertex AI)

Experience: 3+ years in DevOps/Cloud with exposure to AI/ML platforms.

Preferred candidate profile

Perks and benefits