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Specialized Vertex AI skillset but metro location and somewhat generalist devops aspects create moderate applicant competition.
Role requires niche GCP Vertex AI platform and Terraform expertise, limiting cross-industry transferability.
Mandatory Vertex AI, Terraform, GitLab CI/CD, GCP architecture, and IAM requirements create high filtering strictness.
Design and maintain cloud infrastructure for enterprise AI agents using Vertex AI Agent Builder and Gemini platform components.
Implement and manage infrastructure as code (IaC) exclusively via Terraform for all platform components including runtimes, networking, and storage.
Build and optimize automated GitLab CI/CD pipelines for agent testing, deployment, and configuration management while ensuring security and cost optimization.
Hands-on experience with GCP AI Ecosystem, specifically Vertex AI Agent Builder or Gemini Enterprise Agent Platform components.
Advanced expertise in Terraform with modular and reusable code for complex cloud environments and IAM.
Proven experience configuring and managing complex GitLab CI/CD pipelines with automated testing and environment staging.
Solid understanding of GCP infrastructure including GKE, Cloud Run, VPC networking, IAP, and Cloud Storage; strong scripting skills in Python or Go.
Work Experience Required: Not explicitly mentioned in the JD
Experienced cloud engineer specializing in GCP, capable of architecting secure and scalable AI infrastructure with strict IaC practices.
Demonstrated ability in automating complex CI/CD workflows and integrating monitoring for cost and performance optimization.
Familiarity with AI/ML development environments and tools such as LangChain or vector databases is a plus but not mandatory.