DevOpsAI Platform Engineer GCP Hybrid Tempe AZ 6 Months

Genius Business Solutions; Tempe (AZ); On-site; USD 110,000 - 170,000; Full time

Job summary

Genius Business Solutions is looking for a Google Cloud Platform AI Platform Engineer / Cloud Engineer to design and maintain a scalable cloud platform that accelerates Gemini and Vertex AI deployments. You will implement CI/CD, IaC, and MLOps practices to support enterprise AI initiatives.

The role requires strong GCP expertise, Terraform, containers/Kubernetes, and security-conscious operations across development to production. Join our global team delivering AI solutions.

Qualifications

• Experience building CI/CD pipelines on Google Cloud Platform.
• Experience deploying Vertex AI and other AI platform components.
• Strong knowledge of Terraform and containerized deployments.

Responsibilities

• Build CI/CD and infra automation on GCP for AI apps, APIs, models/configs, and cloud services.
• Provision infra via IaC (Terraform).
• Create deployment pipelines across dev/test/stage/prod.
• Deploy and operate Vertex AI/Gemini-based apps.
• Implement monitoring, logging, dashboards with GCP.
• Enforce security: IAM, secrets, networking with security teams.
• Enable automated testing, release management, rollback.
• Improve platform reliability and scalability.

Skills

GCP

CI/CD

Kubernetes

Observability

MLOps/LLMOps

Vertex AI

Tools

Terraform

Job description

About Genius Business Solutions Inc. (GBSI)

Featured in CNBC, Digital Journal, Fox News, and CIO Review, GBSI is a globally recognized IT services leader with 20+ years serving Fortune 500 organizations. Our teams deliver solutions across automotive, manufacturing, retail, and pharmaceutical industries. Headquartered in Moline, IL, GBSI supports clients and consultants throughout the US, Canada, Europe, and India.

Join our innovative team to lead enterprise-grade SAP solutions and drive digital transformation initiatives across global enterprises.

Job Summary

We are seeking a Google Cloud Platform (GCP) AI Platform Engineer / Cloud Engineer to build, automate, and operate a secure, scalable cloud engineering platform that accelerates the deployment of Gemini and Vertex AI solutions from experimentation to production. The ideal candidate will design and maintain cloud infrastructure, implement CI/CD and MLOps practices, ensure security and governance compliance, and enable development teams to rapidly deliver AI-powered applications. This role requires expertise in GCP services, infrastructure automation, cloud security, DevOps, and AI/ML platform operations to support enterprise-scale generative AI initiatives.

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.

Equal Employment Opportunity

GeniusBSI is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation.

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.