Description

You will lead the design, scaling, and maintenance of cloud infrastructure and deployment pipelines for AI/ML workloads.

This role is hybrid.

Responsibilities

• Design and maintain infrastructure-as-code using Terraform, Helm, and ARM templates across Azure and AWS.
• Provision cloud infrastructure to support scalable GenAI and AI/ML workloads.
• Develop and manage CI/CD pipelines specifically for AI/ML model deployment workflows.
• Build monitoring, logging, and analytics tools to ensure system health and rapid issue resolution.
• Collaborate with Customer Success teams to resolve infrastructure issues and support client deployments.

Required Skills

• 15+ years of experience in DevOps practices, CI/CD processes, and cloud-native technologies.
• Hands-on experience with Azure and AWS services including ECS, EKS, AKS, EC2, IAM, and networking.
• Proficiency with Terraform, Helm, and ARM templates for infrastructure management.
• Expertise in containerization and orchestration using Docker and Kubernetes.
• Experience with AI/ML deployment pipelines, including versioning, rollbacks, and automation.
• Proficiency with monitoring tools such as Prometheus, Grafana, and CloudWatch.
• Strong knowledge of Azure DevOps ALM.

Preferred Skills

• Experience with log aggregation systems and troubleshooting complex environments.

Key Skills

Education

Any Gradute