Walk-in || Google Cloud Platform Architect (Infra)

Job description

**Role & responsibilities** 1. Infrastructure Management: - Maintain all cloud services such as Compute Engine, Storage, Networking, IAM, and Kubernetes Engine. - Configure and optimize cloud resources for performance, availability, and cost-efficiency. 2. Deployment and Automation: - Implement and manage Infrastructure as Code (IaC) using tools like Terraform, or Ansible to provision and configure cloud resources securely. - Implement automation scripts and workflows for provisioning, configuration, and maintenance of GCP resources. 3. Security and Compliance: - Implement security best practices and compliance standards for cloud environments. - Configure and manage identity and access management (IAM) policies, network security, encryption, and logging. 4. Monitoring and Troubleshooting: - Set up monitoring and alerting for cloud resources. - Monitor resource usage, performance metrics, and system health, and troubleshoot issues as needed. 5. Containerization and Orchestration: - Manage containerized applications using Google Kubernetes Engine (GKE) or other container orchestration platforms on cloud - Deploy, scale, and manage Docker containers and microservices architectures **Preferred candidate profile** - 8-10years of experience in Solution Architecting with Infra Background - 5+ Years of experience in GCP Cloud Infra Solutioning and architecture. - Deep knowledge of VPC design patterns (Shared VPC, VPC-SC, PSC, etc.) - Strong understanding of IAM at scale - Maintain all cloud services such as GKE, BQ, Vertex AI, Storage, Networking, IAM, - Handson with Terraform (HCL, modules, state mgmt. etc.) for multi-project rollout. - Experience with Set up monitoring and alerting for cloud resources. Monitor resource usage, Performance metrics, and system health, and troubleshooting issues as needed. - Provisioning of GCP data analytics services with Terraform modules - Configure and optimize cloud resources for performance, availability, and cost-efficiency. - Experience with BCP/DR planning and implementation in GCP context. - Strong problem-solving and troubleshooting skills. - Excellent communication and collaboration skills.