Platform Engineer

Themesoft Inc.; Tempe (AZ); On-site; USD 120,000 - 180,000; Full time

Job summary

Themesoft Inc is seeking an experienced Cloud Platform Engineer to build and operate a secure, automated Google Cloud engineering platform. You will enable rapid movement of Gemini/Vertex AI solutions from experimentation to production, focusing on CI/CD, IaC, and scalable deployment pipelines.

You will automate provisioning with Terraform, manage environments across dev/test/stage/prod, and collaborate with security teams on IAM, secrets, and networking.

Qualifications

• Experience building secure, automated cloud engineering platforms.
• Strong GCP, CI/CD, Terraform, containers/Kubernetes and observability experience.
• Practical MLOps/LLMOps and Vertex AI deployment experience is highly desirable.

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

MLOps

LLMOps

Vertex AI deployment

Gemini deployment

Tools

Terraform

Kubernetes

Vertex AI

Job description

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.

Best Regards,

Work: 972-474-8787 Ext: 330 / Dir: 972-737-8631| Themesoft Inc