Cloud Engineering Leader
The Cloud Architect will design, build, and deliver scalable AI and data solutions on GCP. This hands-on role requires strong experience in cloud engineering, automation, and serverless architecture, working on enterprise-level AI and data initiatives.
* Design and implement AI and data solutions on GCP.
* Develop and deploy serverless applications using Python.
* Create and manage Terraform and gcloud scripts for infrastructure provisioning.
* Build and maintain CI/CD pipelines for continuous delivery.
* Implement cloud monitoring, logging, and security best practices.
* Provide support for GCP compute, network, and storage.
* Manage Looker, Looker Studio, and other GCP analytics tools.
* Stay current with GCP technologies and apply best practices.
Required Skills & Experience
* 4+ years in cloud engineering, focused on Google Cloud Platform.
* 2–3 years designing GCP solutions and serverless architectures.
* Experience with Terraform, gcloud CLI, or Deployment Manager.
* Working knowledge of Python, JSON, and CI/CD tools (Cloud Build, Cloud Deploy).
* Strong understanding of Vertex AI, BigQuery, Pub/Sub, GKE, IAM, and related services.
* Experience with AppSheet and Google Workspace integrations is an advantage.
* Excellent problem-solving, communication, and collaboration skills.