Group Technical Architect

About the role

The Google Cloud AI DevOps Engineer (8+ years) is responsible for designing, building, and managing end‑to‑end pipelines and infrastructure on Google Cloud Platform (GCP). This role combines deep cloud engineering expertise with DevOps best practices to enable scalable CI/CD, automated deployments, and robust monitoring for AI/ML and data-driven platforms.

What you'll do

• Design, implement, and maintain automated build and deployment pipelines using GCP services such as Cloud Build, Cloud Functions, GKE, and GCE
• Develop and manage infrastructure using IaC tools (Terraform, Cloud Deploy, Cloud Build, Jenkins, Packer, Terragrunt) to ensure consistent and scalable deployments
• Create and optimize container images and manage container registries
• Integrate and manage DevOps tools such as Jenkins, GitHub Actions, Bitbucket Pipelines, ArgoCD, and Tekton
• Implement monitoring and logging using Cloud Operations, Prometheus, and Grafana

What you need

• 6–10 years in software engineering
• Git
• Python
• Docker
• GCP
• CI/CD
• Terraform
• MBA or B.Tech or B.E.

Good to have

• Jenkins
• Prometheus
• Grafana
• Cloud security
• IAM
• Bash