Job title: DevOps/AI Platform Engineer GCP Bill rate: $70/hr Role is hybrid (3 days/wk) Client address: 1130 West Warner Rd Building B Tempe, AZ 85284 Years of experience required: 10+ Role Purpose: Build and operate a secure, automated Google Cloud engineering platform that enables rapid movement of Gemini/Vertex AI solutions from experimentation into production. Key Responsibilities · Build CI/CD and infrastructure automation on GCP for AI applications, APIs, models/configurations, and cloud services. · Automate infrastructure provisioning using Infrastructure as Code, preferably Terraform. · Establish deployment pipelines and environment management across development, test, staging, and production. · Support deployment and operationalization of applications consuming Vertex AI and Gemini services. · Implement monitoring, logging, alerting, AI/application observability, and operational dashboards using GCP-native capabilities where appropriate. · Implement secure identity, secrets/configuration management, IAM, networking, and access patterns in collaboration with security teams. · Enable automated testing, release management, rollback, and production support. · Continuously optimize platform reliability, scalability, engineering productivity, and GCP consumption. Preferred Profile: Strong GCP, CI/CD, Terraform, containers/Kubernetes and observability experience; practical MLOps/LLMOps and Vertex AI deployment experience highly desirable.