Platform Engineer

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,

Deepa Sandil

Lead Recruiter

Work: View phone number on ziprecruiter.com / Dir: View phone number on ziprecruiter.com| Themesoft Inc