Given your work experience, we believe it would be a outstanding opportunity for you to progress in your career at Capgemini.

GCP Devops Engineer

Location: Pune/Noida

Experience: 3.5 - 6 Years

GCP DevOps Engineer (AI Platform)

Role Summary

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

- 59 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 Engineer (Noida)
🏢 Capgemini
📍 Noida