GCP Devops Engineer

Capgemini; Pune District, Delhi, Dadri; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Capgemini in Pune/Noida is hiring a GCP DevOps Engineer to build and manage cloud infrastructure, CI/CD pipelines, container platforms, and MLOps environments for enterprise AI and GenAI workloads.

The role requires 3.5–6 years of overall DevOps experience and at least 3+ years of GCP experience. You will deploy infrastructure, manage Kubernetes, implement monitoring, and support AI/ML platforms with a focus on reliability and security.

Qualifications

• 3.5–6 years of overall DevOps experience.
• At least 3+ years of GCP experience.
• Experience supporting AI/ML platforms preferred.
• Experience deploying on Kubernetes and cloud infrastructure.

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.

Skills

Google Cloud Platform (GCP)

GKE

Cloud Build

Cloud Run

Compute Engine

VPC & Networking

IAM

Terraform

Docker

Kubernetes

GitHub Actions

GitLab CI

Jenkins

Monitoring & Logging

Tools

Vertex AI

Kubeflow

ML Pipelines

Job description

GCP DevOps Engineer (AI Platform)

Location: Pune/Noida

Experience: 3.5 - 6 Years

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