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Metro role at a known services firm with broad GCP/Terraform requirements and visible senior position, high applicant density.
Cloud DevOps skills are transferable across industries, though GCP/Vertex AI specialization moderately increases domain sensitivity.
Explicit 8 to 12 years plus mandatory GCP, Terraform, and platform engineering experience, strict screening.
Design, build, automate, and manage enterprise-scale cloud infrastructure using GCP and Terraform with a focus on security, scalability, and operational excellence.
Develop and maintain reusable Terraform modules and CI/CD pipelines to support cloud infrastructure provisioning and application deployments.
Collaborate on architecture discussions, implement cloud governance and security standards, troubleshoot production issues, and mentor junior engineers.
8 to 12 years of experience in Cloud Engineering, DevOps, Infrastructure Automation, or Platform Engineering.
Strong hands-on expertise with Google Cloud Platform (GCP) and Terraform including reusable module development.
Proven experience managing GCP services such as Cloud Run, BigQuery, Cloud Storage, IAM, VPC Networking, Load Balancing, and others.
Experience implementing Infrastructure as Code (IaC), CI/CD pipelines, cloud security, governance frameworks, and troubleshooting complex cloud environments.
Experienced technical leader with demonstrated ability to architect scalable, secure, highly available GCP cloud platforms and automate with Terraform.
Capable of operating across cross-functional teams including Data Engineering and AI/ML to support cloud-based AI and analytics workloads.
Skilled at enhancing platform reliability and governance through DevOps best practices, documentation, and collaboration with engineering and business stakeholders.