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First seen by Alion on Nov 4, 2026.

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Job Title: DevOps/AI Platform Engineer Google Cloud Platform

Location: Tempe, AZ (Hybrid – 3 days/week)

 

Experience: 10+ years

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 Google Cloud Platform 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 Google Cloud Platform-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 Google Cloud Platform consumption.

Preferred Profile

Strong Google Cloud Platform, CI/CD, Terraform, containers/Kubernetes and observability experience; practical MLOps/LLMOps and Vertex AI deployment experience highly desirable.

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