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# Senior GCP Platform Engineer

- **Company:** Diverse Lynx LLC
- **Location:** United States
- **Experience:** Expert
- **Salary:** $156,000
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Cloud Engineering, Continuous Integration, Network Topologies, Identity and Access Management, Network Configuration and Change Management, Peering, Search Technologies, Network Switches, Google Cloud, Delivery Pipeline, Infrastructure as Code (IaC), Amazon Virtual Private Cloud (VPC), Agentic-AI, AI Platforms, Machine Learning Operations, Google Gemini, Terraform
- **Published:** November 14, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-gcp-platform-engineer-woodland-hills-ca--975cc955-143a-42a6-8564-8bcccaff37ec

## About the Role

GCP (Good Clinical Practices), Artificial Intelligence (AI), Cloud Computing, GCP (Good Clinical Practices), Ecosystems, Network Topology, Cloud Architecture, Production Systems, Enterprise Architecture, Network Configuration Management

## Description

You will operate at the intersection of enterprise cloud architecture and modern MLOps-building robust Landing Zones, advanced networking topologies, and scalable Terraform modules, while seamlessly integrating Google's AI ecosystem (Vertex AI, Agent Builder, and secure model execution layers) into our production environments., * Core Infrastructure & Landing Zones: Architect, deploy, and govern enterprise-grade Eligible to workP Landing Zones using hierarchical resource management, Shared VPCs, and strict multi-tenant security boundaries

 * Advanced Networking & Security: Implement complex enterprise network configurations-including VPC Peering, Private Service Connect (PSC), Cloud Interconnect, and VPC Service Controls-to ensure secure, low-latency data transit and prevent data exfiltration
 * Infrastructure as Code (IaC): Own, scale, and Eligible to workimize our Terraform codebase by establishing modular patterns, robust remote state management, and automated CI/CD deployment pipelines
 * AI Platform & MLOps Integration: Operationalize Vertex AI environments (Endpoints, Custom Training, Vector Search) and integrate generative AI and agentic frameworks (Agent Builder, Gemini APIs) safely within enterprise cloud perimeters
 * Developer Enablement: Build reusable infrastructure modules and ""paved roads"" that enable engineering and data science teams to spin up compliant, production-ready environments with minimal friction
 * Security & Compliance: Enforce strict least-privilege IAM models, manage secrets securely via Secret Manager and KMS, and maintain rigorous perimeter security controls.

AWS Cloud Engineer, Terraform