DevOps/AI Platform Engineer GCP

TechDigital Group; Tempe (AZ); On-site; USD 140,000 - 220,000; Full time

Job summary

TechDigital Group in Tempe, AZ is seeking a senior cloud platform engineer to build and operate a secure, automated Google Cloud engineering platform enabling rapid movement of Gemini/Vertex AI solutions from experimentation into production.

You will own CI/CD pipelines, IaC (Terraform), and environment management across development, test, staging, and production, while collaborating with security teams to ensure robust IAM, secrets handling, and observability.

Qualifications

• 10+ years of cloud engineering experience.
• Hands-on with Google Cloud Platform and CI/CD tooling.
• Experience with Terraform and container orchestration (Kubernetes).
• Practical MLOps/LLMOps and Vertex AI deployment experience.

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.

Skills

GCP

CI/CD

Terraform

Kubernetes

Observability

Vertex AI

MLOps

Job description

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.