Source description
About the role
We are seeking a GCP DevOps Engineer to build and manage cloud infrastructure, CI/CD pipelines, container platforms, and MLOps environments supporting enterprise AI and GenAI platforms. Experience 4 –10 years of DevOps experience 3+ years of GCP experience Experience supporting AI/ML platforms preferred Key Responsibilities Deploy and manage GCP infrastructure. Build CI/CD pipelines for AI applications. Automate infrastructure provisioning using Infrastructure as Code. Manage Kubernetes environments. Implement monitoring, logging, and alerting. Support MLOps and GenAI workloads. Ensure platform reliability, scalability, and security. Technical Skills Mandatory Google Cloud Platform (GCP) GKE Cloud Build Cloud Run Compute Engine VPC & Networking IAM Terraform Docker Kubernetes GitHub Actions/GitLab CI/Jenkins Monitoring & Logging (Cloud Monitoring, Prometheus, Grafana) Preferred Vertex AI MLOps Kubeflow ML Pipelines Python/Bash Scripting Security & Compliance Automation
More at Capgemini Invent