Job description

We are looking for a Senior Google Cloud Engineer to design, build, and manage enterprise-grade cloud data platforms on Google Cloud Platform (GCP). The ideal candidate will bring deep hands-on expertise in GCP services, CI/CD automation, and AI — with the ability to deliver scalable, production-ready solutions and drive innovation through GenAI and agentic AI workflows. KEY RESPONSIBILITIES ▸ Architect and build scalable data platforms on GCP using BigQuery, Dataflow, Cloud Composer, Pub/Sub, and Cloud Functions. ▸ Design and implement end-to-end ETL/ELT pipelines for batch and real-time data ingestion, transformation, and analytics. ▸ Build and maintain CI/CD pipelines using Terraform, GitHub Actions, and Cloud Build for automated infrastructure provisioning and application deployment. ▸ Containerize and deploy applications using Docker, Cloud Build, and Cloud Run. ▸ Design and build AI agents using Google's Agent Development Kit (ADK) to automate complex multi-step business workflows. ▸ Build and deploy GenAI-powered applications leveraging Vertex AI, Gemini models, and Model Garden. ▸ Implement RAG pipelines using vector databases and embedding models for enterprise knowledge retrieval. ▸ Drive FinOps initiatives — monitor cloud spend, optimize BigQuery costs, and implement cost governance across projects. ▸ Set up Cloud Monitoring, logging, and alerting for operational observability across all GCP services. Qualifications: ANY Range of Year Experience-Min Year: 4 Range of Year Experience-Max Year: 8

Requirements

Must-haves

▸ Architect and build scalable data platforms on GCP using BigQuery, Dataflow, Cloud Composer, Pub/Sub, and Cloud Functions.
▸ Design and implement end-to-end ETL/ELT pipelines for batch and real-time data ingestion, transformation, and analytics.
▸ Build and maintain CI/CD pipelines using Terraform, GitHub Actions, and Cloud Build for automated infrastructure provisioning and application deployment.
▸ Containerize and deploy applications using Docker, Cloud Build, and Cloud Run.
▸ Design and build AI agents using Google's Agent Development Kit (ADK) to automate complex multi-step business workflows.
▸ Build and deploy GenAI-powered applications leveraging Vertex AI, Gemini models, and Model Garden.
▸ Implement RAG pipelines using vector databases and embedding models for enterprise knowledge retrieval.
▸ Drive FinOps initiatives — monitor cloud spend, optimize BigQuery costs, and implement cost governance across projects.
▸ Set up Cloud Monitoring, logging, and alerting for operational observability across all GCP services.
Qualifications: ANY
Range of Year Experience-Min Year: 4
Range of Year Experience-Max Year: 8

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

gcpci/cdaidocker

Platform: brassring
Effort: medium

Benefits

Benefits detected in the listing.

Vision