Google Cloud Platform Consultant

Employment: Fulltime

Job Summary

We are seeking a highly skilled Senior Google Cloud Platform Cloud Engineer to support and enhance cloud-native solutions for a large enterprise environment. This role requires deep hands-on experience with Google Cloud Platform (Google Cloud Platform), Infrastructure as Code (IaC), and CI/CD pipelines, along with the ability to collaborate effectively in a multi-vendor ecosystem, including close interaction with Google consultants.

• Google Cloud Platform (Google Cloud Platform)
• Terraform (Infrastructure as Code)
• Ansible
• GitHub
• Jenkins (CI/CD pipelines)

• Design, deploy, and manage scalable cloud infrastructure on Google Cloud Platform, leveraging core Google Cloud Platform services and integrations, including AI-enabled services where applicable.
• Implement and manage cloud resources using Infrastructure as Code (IaC), with a strong preference for Terraform.
• Hands-on deployment and management of:
• Cloud Run
• Internal Load Balancers
• Cloud Storage Buckets
• Custom IAM roles and permissions
• Pub/Sub messaging services
• Develop and maintain Git/Terraform/Google Cloud Platform workflows to ensure consistent, repeatable, and secure deployments.
• Build and support CI/CD pipelines using tools such as Jenkins and GitHub.
• Collaborate effectively in a multi-vendor environment, working closely with internal teams and external partners.
• Communicate clearly and professionally with Google consultants, ensuring alignment on architecture, best practices, and delivery timelines.
• Contribute to cloud architecture decisions, security best practices, and operational excellence.

• Strong hands-on experience with Google Cloud Platform services and cloud-native architectures
• Proven experience deploying production workloads using Terraform
• Solid understanding of IAM, networking, and security within Google Cloud Platform
• Experience working in enterprise or large-scale cloud environments
• Excellent communication and collaboration skills

• Experience with AI or ML integrations within Google Cloud Platform
• Prior experience in insurance or financial services environments
• Exposure to hybrid or multi-cloud architectures

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