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).

Valuable-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

📌 Gcp Devops Engineer Hyderabad
🏢 Capgemini
📍 Hyderabad