Digital Cloud Engineer

As an experienced Google Cloud Architect, your role will involve architecting and provisioning scalable, secure, and cost-effective solutions on GCP. You will collaborate with cross-functional teams across cloud modernization and AI initiatives. Here is a breakdown of your key responsibilities: - **Cloud Architecture & Infrastructure**: - Manage GKE, Cloud Run, and serverless services. - Design and implement robust, scalable architectures on Google Cloud Platform. - Lead infrastructure provisioning using Terraform, Deployment Manager, or gcloud CLI. - Ensure secure and efficient network design using VPC, subnetworks, load balancers, Cloud NAT, VPNs, and Interconnects. - Implement IAM, service accounts, org policies, and VPC Service Controls for secure operations. - **API Management (Apigee)**: - Design and deploy secure, scalable API proxies and developer portals using Apigee Edge/Hybrid/X. - Configure policies for traffic management, authentication, quota, caching, and transformation. - Integrate Apigee APIs with backend systems and monitoring/logging frameworks. - **AI/ML Services Provisioning**: - Provision and manage Vertex AI components such as models, endpoints, pipelines, notebooks, and Feature Store. - Enable and manage Veo V3 (GCP video generation model) including access, quotas, and inference usage and ImageGen. - Configure and monitor Speech-to-Text / Text-to-Speech services for real-time and batch processing. - Ensure IAM roles, service enablement, and usage tracking for AI services. - **Automation & DevOps**: - Automate infrastructure and service provisioning using IaC (Terraform, YAML, gcloud SDK). - Support CI/CD pipeline integration for application and model deployments. - Enable observability using Cloud Monitoring, Logging, and Error Reporting. - **Governance & Optimization**: - Implement cost control mechanisms, usage quotas, and budget alerts. - Conduct periodic architecture reviews to ensure security, scalability, and compliance. - Document architecture, processes, and provisioning steps clearly for operational transparency. **Required Skills**: - 3+ years of hands-on experience in GCP architecture, provisioning, and deployment. - Strong expertise in Apigee API Gateway design, deployment, and lifecycle management. - Deep knowledge of GCP networking and security best practices. - Experience provisioning and managing Vertex AI, Veo V3, and Speech APIs on GCP. - Proficiency in Terraform, gcloud CLI, and service account/IAM configuration. - Good understanding of monitoring, logging, and billing optimization in GCP. In addition to the above, if there are any additional details about the company in the job description, please provide them.,