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

📌 GCP Devops SME (Bengaluru)
🏢 Capgemini
📍 Bengaluru