Google Cloud Platform Engineer / Devops Schaumburg, IL (Hybrid) We are looking for experienced Google Cloud engineers with hands-on expertise in Gemini Enterprise Agent Platform (GEAP) , Google's managed platform for building, deploying, governing, and scaling enterprise-grade AI agents. This is a hands-on, build-and-deploy role: you will design agent architectures, stand up production hosting infrastructure, integrate Model Context Protocol (MCP) servers and tools, and ensure our agents are secure, observable, and cost-efficient at scale. What You'll Do Design, build, and deploy AI agents on GEAP using Google's Agent Development Kit (ADK) or equivalent frameworks, including both pro-code and low-code (Agent Studio) approaches Deploy agents to GEAP's fully-managed Agent Runtime, configuring short-term Sessions and long-term Memory Bank integration Integrate and configure Model Context Protocol (MCP) servers

• both Google-provided (e.g., Workspace MCP) and custom/third-party
• as external agent tools Stand up and manage multi-agent orchestration patterns (e.

g., orchestrator/sub-agent graphs, Agent Fabric-style fleets) where specialized agents handle discrete tasks and coordinate via defined protocols Configure Agent Gateway policies, authorization, and Agent Identity for secure, auditable, and traceable agent actions Define and provision the Google Cloud Platform infrastructure needed to host agents: networking (VPC, Private Service Connect, hybrid/on-prem connectivity), IAM, compute (GKE, Agent Platform Endpoints), and OAuth/credential flows for production agent authentication Set up Agent Evaluation, Agent Observability, and Agent Optimizer to monitor drift, trace performance issues, and control compute/token costs in production Advise stakeholders on exactly what's required

• licensing, APIs, IAM roles, network topology, compute sizing
• to host AI agents on GEAP, and translate that into clear deployment runbooks Troubleshoot production issues across the agent stack, from model/tool calls to networking and platform-level governance controls Required Experience Demonstrated hands-on experience with GEAP (or its predecessor, Vertex AI Agent Builder/Vertex AI Pipelines)
• not just familiarity from documentation Strong Google Cloud Platform fundamentals:

IAM, VPC

networking, GKE, Cloud Run or similar compute, Private Service Connect Experience building or integrating MCP (Model Context Protocol) servers and tools Experience with Google's Agent Development Kit (ADK) or comparable agent frameworks Familiarity with agent orchestration concepts (multi-agent systems, task graphs, tool calling, sessions/memory) Solid understanding of OAuth 2.0 flows and secure credential handling for production, server-side applications Comfortable working with gcloud CLI, Google Cloud Console, and infrastructure-as-code tooling Nice to Have Experience with Google Workspace MCP servers and the Workspace Developer Preview Program Background in ML/platform engineering or cloud architecture roles Experience with third-party agent interoperability (e.g., Open Agent Network, Salesforce/ServiceNow agent integrations) Google Cloud certifications (Professional Cloud Architect, Professional ML Engineer, etc.) Experience with cost governance/optimization for high-volume agent workloads