GCP Platform Engineer with DevOps experience

What You'll Do10

• Write reusable Terraform modules that other teams across the enterprise can adopt and extend.
• Stand up complete GCP environments from an empty project, covering services, networking, and access.
• Own configuration for Cloud Run, BigQuery, Cloud Storage, Firestore, IAM, Secret Manager, and load balancing.
• Build and maintain CI/CD pipelines for infrastructure releases and application deployments.
• Handle VPCs, subnets, firewall rules, private connectivity, DNS records, and SSL certificates.
• Manage service accounts, IAM policies, and security controls across every environment.
• Set up logging, alerting, and observability with Cloud Monitoring and related tooling.
• Write Python APIs and data connectors on Cloud Functions or Cloud Run that feed downstream apps and ML systems.
• Trace production incidents to root cause, then document the runbooks, architecture, and support procedures that follow.
• Partner with data engineering and AI/ML teams on the secure, scalable infrastructure behind Vertex AI workloads.

Requirements8

• Hands-on GCP experience supporting enterprise-scale cloud infrastructure.
• Strong Terraform skills and a record of running infrastructure as code across development, testing, staging, and production.
• Practical knowledge of Cloud Build, GitHub Actions, or a comparable CI/CD system for pipeline delivery.
• Comfort with GCP IAM, VPC networking, and container platforms such as GKE and Cloud Run.
• Python experience building APIs and connectors on Cloud Functions or Cloud Run.
• Familiarity with GCP-native data platforms: BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer.
• Working knowledge of security, compliance, and governance controls in cloud environments.
• Senior-level background designing, automating, and operating cloud platforms.

Who Should Apply

The role suits a senior cloud engineer who has built GCP environments end to end with Terraform and wants ownership of a platform that feeds data and AI/ML teams. You should move easily between IAM design, pipeline work, and debugging a live incident.

Salary Insight