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Google Cloud Platform Cloud Engineer

Whiztek Corp

Hybrid in Chicago, Illinois • Today

Easy Apply

Contract, Third Party

Depends on Experience

Google Cloud Platform Cloud Engineer / Developer

CoSourcing Partners

Chicago, Illinois • Today

Full-time

Google Cloud Engineer

Whiztek Corp

Hybrid in Schaumburg, Illinois • 2d ago

Easy Apply

Contract

Depends on Experience

Google Cloud Platform Data Engineer

CoSourcing Partners

Chicago, Illinois • Today

Full-time

Google Cloud Platform Cloud Architect

Beacon Hill

Remote or Hybrid • Today

Easy Apply

Contract

$75 - $80 per hour

Google Cloud Platform Cloud Architect With AI

E-Solutions, Inc.

Remote • 9d ago

Easy Apply

Third Party, Contract

Depends on Experience

Senior Google Cloud Platform Cloud, Data & AI Architect

HPTech Inc.

Remote • Today

Easy Apply

Contract

Depends on Experience

Python Developer with Google Cloud Platform Cloud Exp. (only w2 contract)

Stellar Consulting Solutions

Remote or Georgia • Today

Easy Apply

Contract

$42 to 46/hr on w2

Google Cloud Platform cloud architect with AI 15+

HAN IT Staffing Inc.

Remote • 6d ago

Easy Apply

Contract, Third Party

$70 - $80

Senior Google Cloud Platform CloudOps Engineer

Cotiviti

Remote • Today

Full-time

USD 125,000.00 - 150,000.00 per year

Google Cloud Platform Data Engineer

Niha Technologies, Inc.

Remote • 17d ago

Easy Apply

Full-time

Depends on Experience

Google Cloud Engineer

Siro Clinpharm Pvt Ltd

Remote • 2d ago

Easy Apply

Full-time

Depends on Experience

Cloud Platform Engineer

ICF Consulting Group, Inc.

Remote or Washington • Today

Full-time

USD 108,006.00 - 183,610.00 per year

Lead Cloud Engineer

Fannie Mae

Remote or Reston, Virginia • Today

Full-time

USD 141,000.00 - 184,000.00 per year

Cloud Engineer

SOS International LLC (SOSi)

Remote or Oregon • Today

Full-time

Cloud Engineer

Atlas Technica

Remote • Today

Full-time

Google Cloud Platform Data Engineer

Kanini

Remote • 29d ago

Easy Apply

Full-time

Depends on Experience

Senior Security Engineer

Wpromote

Remote or Los Angeles, California • Today

Full-time

USD 145,000.00 - 170,000.00 per year

Staff Software Engineer - Product Security

Maven Clinic

Remote or New York, New York • Today

Full-time

USD 221,000.00 - 260,000.00 per year

Senior Security Engineer

Aalyria

Remote • Today

Full-time

USD 170,000.00 - 200,000.00 per year

Principal Infrastructure Security Engineer

Upstart

Remote • Today

Full-time

USD 190,600.00 - 263,900.00 per year

AI Technical Sr Lead (IT)

DaVita Inc.

Remote or Denver, Colorado • Today

Full-time

USD 115,000.00 - 183,000.00 per year

Senior Google Cloud Engineer

Booz Allen Hamilton

Remote • Today

Full-time

USD 86,900.00 - 198,000.00 per year

Job Details

Skills

Artificial Intelligence
Cloud Computing
GCP
Google Cloud Platform
GEAP
Google's Agent Development
Gemini Enterprise Agent Platform

Summary

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10132070
Position Id: 9062656
Posted 14 hours ago

Fitment

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Similar Jobs

Google Cloud Engineer

Hybrid in Schaumburg, Illinois

•

2d ago

Whiztekcorp is a trusted IT consulting and staffing firm delivering high-quality technology solutions to enterprise clients across the United States. We specialize in connecting top-tier engineering talent with long-term, impactful projects. Job Tittle: Google Cloud Platform Cloud Engineer Location: Chicago, IL (Hybrid) We are looking for experienced Google Cloud engineers with hands-on expertise in Gemini Enterprise Agent Platform (GEAP), Googles managed platform for building, deploying, govern

Easy Apply

Contract

Depends on Experience

Staff Agentic Software Engineer

Chicago, Illinois

•

Today

CME Group is looking for a senior and experienced Staff Agentic Software Engineer to join a dynamic team responsible for our mission-critical Real-time Positions & Risk Management Systems. This role is pivotal in driving both the technical evolution of our financial platforms and the transformation of our engineering workflows. You will lead the team in transitioning from traditional software development to an agentic engineering paradigm-leveraging advanced LLM coding tools (e.g., Gemini CLI,

Full-time

USD 125,800.00 - 209,600.00 per year

Staff Agentic Software Engineer

Chicago, Illinois

•

Today

CME Group is looking for a senior and experienced Staff Agentic Software Engineer to join a dynamic team responsible for our mission-critical Real-time Positions & Risk Management Systems. This role is pivotal in driving both the technical evolution of our financial platforms and the transformation of our engineering workflows. You will lead the team in transitioning from traditional software development to an agentic engineering paradigm -leveraging advanced LLM coding tools (e.g., Gemini CLI,

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Senior AI Cloud Platform Engineer

Chicago, Illinois

•

7d ago

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Job Description As a Senior AI Cloud Platform Engineer, you'll act as a f

Full-time

USD 85,000.00 - 145,075.00 per year

Job Details

Skills

Artificial Intelligence
Cloud Computing
GCP
Google Cloud Platform
GEAP
Google's Agent Development
Gemini Enterprise Agent Platform

Summary

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

Dice Id: 10132070
Position Id: 9062656
Posted 14 hours ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Google Cloud Engineer

Hybrid in Schaumburg, Illinois

•

2d ago

Easy Apply

Contract

Depends on Experience

Staff Agentic Software Engineer

Chicago, Illinois

•

Today

Full-time

USD 125,800.00 - 209,600.00 per year

Staff Agentic Software Engineer

Chicago, Illinois

•

Today

CME Group is looking for a senior and experienced Staff Agentic Software Engineer to join a dynamic team responsible for our mission-critical Real-time Positions & Risk Management Systems. This role is pivotal in driving both the technical evolution of our financial platforms and the transformation of our engineering workflows. You will lead the team in transitioning from traditional software development to an agentic engineering paradigm -leveraging advanced LLM coding tools (e.g., Gemini CLI,

Full-time

USD 125,800.00 - 209,600.00 per year

Senior AI Cloud Platform Engineer

Chicago, Illinois

•

7d ago

Full-time

USD 85,000.00 - 145,075.00 per year