Capgemini - GCP DevOps Engineer

GCP DevOps Engineer 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 Terraform 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