GCP Devops Engineer

Capgemini; Hyderabad, Pune District; Hybrid; INR 1,800,000 - 2,400,000; Full time

Job summary

Capgemini in India is seeking a skilled Cloud Engineer to manage GCP infrastructure, automate deployments, and ensure reliability and scalability of applications across multi-region environments. You will implement IaC with Terraform and Deployment Manager, build CI/CD pipelines using GitHub Actions, containerize with Docker and Kubernetes, and monitor with Prometheus, Grafana, and security tools.

Hands-on with IAM, cost governance via Billing APIs, and DevSecOps practices completing the full

Qualifications

• Experience with GCP core services including Compute, VPC, IAM, DNS, and GKE.
• Hands-on with Terraform and Deployment Manager for IaC.
• Proficient in GitHub Actions and CI/CD tooling.
• Proficient with Docker and Kubernetes orchestration.
• Strong scripting in Bash, Python; Linux systems experience.
• Experience with monitoring: Prometheus, Grafana, Splunk, Kibana.

Responsibilities

• Design and manage GCP infrastructure for reliability and scalability.
• Build and maintain CI/CD pipelines using GitHub Actions.
• Containerize applications with Docker and orchestrate via Kubernetes.
• Implement IaC with Terraform and Deployment Manager.
• Implement DevSecOps practices and cost governance.

Job description

Role Overview:
Responsible for managing GCP cloud infrastructure, automating deployments, and ensuring reliability and scalability of applications.

Key Responsibilities:

• Work with GCP services like Compute Engine, VPC, Cloud IAM, Cloud DNS, MIGs, Cloud Functions, Cloud Monitoring, Cloud Run, GKE.
• Implement IaC using and Deployment Manager.
• Build CI/CD pipelines using GitHub Actions and other tools.
• Containerize applications using Docker and Kubernetes.
• Automate processes using Linux, Bash, and Python scripting.
• Monitor systems using Prometheus, Grafana, Splunk, Kibana.
• Implement DevSecOps practices (SAST, DAST, container image scanning, SBOM generation).
• Manage IAM policies, service accounts, and workload identity federation.
• Use GCP Billing APIs, Budgets, and Recommendations for cost governance.
• Automate alerting and dashboards with Cloud Monitoring API.
• Implement distributed tracing (OpenTelemetry).
• Autoscaling strategies for GKE and MIGs.
• Optimize container images and CI/CD caching.
• Design multi-region failover and backup strategies using GCP services.

Must-Have Skills:

• GCP core services (Compute, VPC, IAM, DNS, MIGs, Cloud Functions, Cloud Monitoring, Cloud Run, GKE).
• Terraform and Deployment Manager.
• GitHub Actions and CI/CD tools.
• Docker and Kubernetes.
• Linux, Bash, Python scripting.
• Monitoring tools (Prometheus, Grafana, Splunk, Kibana).

Good-to-Have Skills:

• Cloud SQL, BigQuery, Cloud CDN.
• Anthos & Service Mesh (Istio): For hybrid/multi-cloud workloads.
• Cloud Build & Artifact Registry: For secure builds and image management.
• Policy as Code: Using OPA/Conftest for Kubernetes manifests.
• Supply Chain Security: Cosign for image signing, SLSA compliance.
• Ansible, Helm, OpenShift