Showcase Your Google Cloud Skills with a GitHub README Badge

Use this markdown in your README:

![Google Cloud](https://img.shields.io/badge/Google_Cloud-4285F4?style=for-the-badge&logo=googlecloud&logoColor=white)

The #4285F4 color is Google's primary blue, used across all Google brand properties. The googlecloud logo identifier renders the Google Cloud logo from Simple Icons. Note the underscore in Google_Cloud in the badge label — shields.io treats underscores as spaces in badge text, so this renders as 'Google Cloud' with a space.

GCP encompasses dozens of services — listing 'GCP' covers everything from basic Compute Engine VMs to complex Dataflow pipelines. In your bio or skills section, be specific about which GCP services you have production experience with.

Common GCP service groups to call out explicitly: data and analytics (BigQuery, Dataflow, Pub/Sub), ML platform (Vertex AI, AI Platform, AutoML), container and serverless (GKE, Cloud Run, Cloud Functions), storage (Cloud Storage, Firestore, Cloud SQL), and networking (VPC, Cloud CDN, Cloud Armor). Naming specific services demonstrates real platform knowledge versus generic familiarity.

GCP pairs naturally with different tool sets depending on your focus:

• Data engineering stack: GCP + BigQuery + Dataflow + dbt + Python
• ML platform stack: GCP + TensorFlow + Vertex AI + Docker + Kubernetes
• Backend deployment stack: GCP + Cloud Run + Docker + FastAPI + Terraform
• Full-stack cloud stack: GCP + Firebase + Next.js + TypeScript

If you work primarily in one cloud provider, feature that provider's badge prominently in your cloud section. If you are multi-cloud, create a 'Cloud Platforms' badge group showing all providers you have worked with, and note in your bio which is your primary environment.

Much of the work done with GCP involves configuration files (Terraform HCL, YAML for Cloud Build, JSON for IAM policies) that may appear in your language stats if your infrastructure repos are public. Consider excluding these with the hide=hcl,yaml parameter if they dominate your top languages card.

For GCP engineers, the most meaningful profile additions beyond badges are repositories showing infrastructure-as-code patterns — Terraform modules for GCP resources, Cloud Build pipeline configurations, or working examples of GCP service integrations. These demonstrate platform proficiency that generic tool badges cannot convey.