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

Pacer Group; Tempe (AZ); Hybrid; USD 69,000 - 83,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401(k)

Job summary

Pacer Group in Tempe, AZ is seeking a Senior GCP DevOps & AI Platform Engineer to join the Cloud & AI Engineering team. The role focuses on scaling generative AI models from experimentation into production, building a secure, automated Google Cloud platform to deploy Gemini and Vertex AI solutions with robust CI/CD and infrastructure provisioning.

You will implement comprehensive monitoring, IAM and secret management, and production support, establishing observability dashboards and efficient

Qualifications

• Vertex AI & Gemini Services Operations / MLOps required.
• IAM, Network Security & Secret Management desirable.
• GCP-Native Monitoring, Logging & Observability Dashboards helpful.
• Release Management, Rollback & Production Support experience beneficial.

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 Terraform across dev, test, staging, and production.
• Support deployment, operationalization, and scaling of applications using Vertex AI and Gemini services.
• Establish secure identity frameworks, secrets/configuration management, IAM, networking, and access patterns with security teams.

Skills

Vertex & Gemini MLOps

IAM & Secrets

Monitoring & Observability

Release & Production Support

Job description

Location: Tempe, AZ 85284

Work Arrangement: Hybrid (3 days/wk)

Employment Type: Contract

Duration: 36 months

Pay Rate: $50.00/hr W2 | $60.00/hr C2C

SKILLS REQUIRED

Primary (Must-Have):

• Vertex AI & Gemini Services Operations / MLOps

Secondary (Good to Have):

• IAM, Network Security & Secret Management
• GCP-Native Monitoring, Logging & Observability Dashboards
• Release Management, Rollback & Production Support

POSITION OVERVIEW

The 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.

DISCLAIMER

AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.