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David Careers

DevOps/AI Platform Engineer GCP / Senior GCP DevOps & AI Platform Engineer (Vertex AI & MLOps)

Posted 8 days ago

pacer groupPhoenix (AZ)
Computer Systems Engineers/ArchitectsSoftware Publishers

SENIORITY

Lead

SALARY

$50.00/hr

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About the role

Job Title: DevOps/AI Platform Engineer GCP / Senior GCP DevOps & AI Platform Engineer (Vertex AI & MLOps)
Location: Tempe, AZ 85284
Work Arrangement: Hybrid (3 days/wk)
Employment Type: ContractDuration: 36 monthsDomain: Enterprise Cloud & AI TechnologyPay Rate: $50.00/hr W2 | $60.00/hr C2CApplication Deadline: Nov 15th 2026SKILLS REQUIREDPrimary (Must-Have):
  • Google Cloud Platform (GCP) & Cloud Architecture
  • Infrastructure as Code (Terraform)
  • CI/CD Pipelines & Automation
  • Containers & Kubernetes (GKE)
  • Vertex AI & Gemini Services Operations / MLOpsSecondary (Good to Have):
  • IAM, Network Security & Secret Management
  • GCP-Native Monitoring, Logging & Observability Dashboards
  • Release Management, Rollback & Production SupportPOSITION OVERVIEWThe Senior GCP DevOps & AI Platform Engineer will join the Cloud & AI Engineering department reporting to the Director of Cloud Infrastructure to solve critical scaling challenges in transitioning generative AI models from experimentation into production. This role builds and operates a secure, automated Google Cloud platform to enable the seamless deployment and operationalization of Gemini and Vertex AI solutions. By establishing robust CI/CD pipelines, automated infrastructure provisioning, and advanced observability, the engineer ensures enterprise-grade platform reliability, scalability, and optimal GCP resource consumption.
ROLES & RESPONSIBILITIES:
  • Build and manage CI/CD pipelines and infrastructure automation on GCP for AI applications, APIs, models, configurations, and cloud services.
  • Automate end-to-end infrastructure provisioning using Infrastructure as Code (Terraform) across development, test, staging, and production environments.
  • Support the deployment, operationalization, and scaling of applications consuming Vertex AI and Gemini services.
  • Implement comprehensive monitoring, logging, alerting, AI/application observability, and operational dashboards utilizing GCP-native capabilities.
  • Establish secure identity frameworks, secrets/configuration management, IAM, networking, and access patterns in close collaboration with security teams.
BENEFITS: Medical | Dental | Vision | 401(k)EEOC Compliance:
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment. DISCLAIMERAI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.

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