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GCP - Digital Cloud Engineer

8 years

0 Lacs

pune maharashtra india

Posted:4 days ago| Platform: Linkedin logo

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Skills Required

gcp api management networking provisioning ai vertex architecture design terraform deployment network vpc iam service controls developer authentication monitoring logging ml video model inference processing enablement tracking automation automate yaml support pipeline integration reporting governance security scalability compliance transparency configuration billing optimization certification communication documentation

Work Mode

On-site

Job Type

Full Time

Job Description

Experience**: 8+ years (minimum 3 years on GCP)
  • Employment Type**: Full-time / Contract

Job Summary

We are looking for an experienced Google Cloud Architect with strong expertise in Apigee API Management, GCP Cloud Networking, and provisioning/managing AI services such as Vertex AI, Veo V3, and Speech-to-Text/Text-to-Speech APIs. The ideal candidate will architect and provision scalable, secure, and cost-effective solutions on GCP, while collaborating with cross-functional teams across cloud modernization and AI initiatives.Key Responsibilities
  • Cloud Architecture & Infrastructure
  • Experience in managing GKE, Cloud Run, and serverless services
  • Design and implement robust, scalable architectures on Google Cloud Platform (Landing zone).
  • 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.

Preferred Qualifications

  • GCP Professional Cloud Architect certification (required or in-progress).
  • Experience working in multi-cloud or hybrid cloud environments.
  • Strong communication and documentation skills; ability to lead client conversations.

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