Highlights
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. Preferred Profile: Strong GCP, CI/CD, Terraform, containers/Kubernetes and observability experience; practical MLOps/LLMOps and Vertex AI deployment experience highly desirable.
Numbers & Facts
| Location | Tempe, AZ |
| Industry | Computer/IT Services |
| Salary | $50–$55 Per Hour |
| Company Size | 500 to 999 employees |
| Website | https://www.apolisrises.com/ |
Description
Job Title: DevOps/AI Platform Engineer GCP
Role is hybrid (3 Days/Week)
Location: 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.
Role is hybrid (3 Days/Week)
Location: 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.
Benefits
Paid Sick Days, Employee Referral Program, Employee Events, Retirement / Pension Plans
About Company
Since 1996, RJT has provided successful SAP, Oracle, and IT consulting solutions and staffing services to clients around the world. The new Apolis brings you the same personalized service fortified with a greater array of IT solutions, global expertise, and cost-management strategies.
We are a global IT consultancy that seamlessly integrates experts and leading-edge solutions into your organization so you can focus on what really matters.