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Google Cloud Platform DevOps Engineer

Whiztek Corp

Hybrid in Schaumburg, Illinois • 2d ago

Easy Apply

Contract, Third Party

Depends on Experience

Google Cloud Platform DevOps Engineer

Hudson IT

Schaumburg, Illinois • Today

Full-time

USD 42.00 - 45.00 per hour

Google Cloud Platform Cloud Engineer / Devops Engineer

Whiztek Corp

Hybrid in Chicago, Illinois • 4d ago

Easy Apply

Third Party, Contract

Depends on Experience

Google Cloud Engineer

Whiztek Corp

Hybrid in Schaumburg, Illinois • 11d ago

Easy Apply

Contract

Depends on Experience

Google Cloud Platform Cloud Engineer

Whiztek Corp

Hybrid in Chicago, Illinois • 9d ago

Easy Apply

Contract, Third Party

Depends on Experience

Google Cloud Platform Engineer Expert (Remote, US)

Allstate Insurance Company

Remote or Chicago, Illinois • 2d ago

Full-time

USD 134,000.00 - 209,750.00 per year

VP - Platform Engineer - Google Cloud Platform DevOps

StevenDouglas

Remote • Yesterday

Easy Apply

Full-time

170,000 - 210,000

Google Cloud Engineer

Siro Clinpharm Pvt Ltd

Remote • 10d ago

Easy Apply

Full-time

Depends on Experience

Google Cloud Platform Data Engineer

Niha Technologies, Inc.

Remote • 26d ago

Easy Apply

Full-time

Depends on Experience

Senior DevOps Cloud Engineer

iSpace, Inc

Remote • Today

Easy Apply

Contract

$60 - $70

DevOps Private/Public Cloud Engineer

Motorola Solutions

Chicago, Illinois • Today

Full-time

USD 90,000.00 - 115,000.00 per year

Cloud Platform Engineer

ICF Consulting Group, Inc.

Remote or Washington • Today

Full-time

USD 108,006.00 - 183,610.00 per year

Senior Manager (DevOps, Automation, Google Cloud Platform)

CVS Health

Remote or Connecticut • Today

Full-time

USD 106,605.00 - 260,590.00 per year

Google Cloud Platform Engineer Expert (Remote, US)

Allstate Insurance Company

Remote or Illinois • Today

Full-time

USD 134,000.00 - 209,750.00 per year

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

CoSourcing Partners

Chicago, Illinois • Today

Full-time

Google Cloud Platform Cloud Engineer / Developer

CoSourcing Partners

Chicago, Illinois • Today

Full-time

DevOps Engineer II, Cloud Platform

Upstart

Remote • Today

Full-time

USD 142,000.00 - 196,600.00 per year

Google Cloud Platform Engineer with claude

Rapisource LLC

Remote • 3d ago

Easy Apply

Contract

Depends on Experience

DevSecOps Cloud Engineer

Navigant Consulting

Remote or San Antonio, Texas • Today

Full-time

USD 46,000.00 - 76,000.00 per year

Senior .NET Developer (Google Cloud Platform, BigQuery, Python, React, Azure Devops) with min 12+ Years Exp Required

Radiant System, Inc

Remote • 14d ago

Easy Apply

Contract

$60 - $70

Cloud DevOps Engineer

Stefanini

Remote or Richmond, Virginia • Today

Easy Apply

Contract

$100 - $105 /hr

Job Details

Skills

Artificial Intelligence
DevOps
Google Cloud
Google Cloud Platform
Machine Learning (ML)

Summary

Role: Google Cloud Platform DevOps Engineer

Location: Schaumburg, IL

Work Mode: Hybrid (2-3 days/week in office)

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: 9069257
Posted 2 days ago

Fitment

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Similar Jobs

Google Cloud Engineer

Hybrid in Schaumburg, Illinois

•

11d 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

Google Cloud Platform Cloud Engineer / Devops Engineer

Hybrid in Chicago, Illinois

•

4d ago

Devops Engineer with Google Cloud Platform Chicago, 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 sec

Easy Apply

Third Party, Contract

Depends on Experience

Google Cloud Platform Cloud Engineer

Hybrid in Chicago, Illinois

•

9d ago

Easy Apply

Contract, Third Party

Depends on Experience

Google Cloud Platform Engineer Lead (Remote, US)

Remote or Chicago, Illinois

•

Yesterday

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 The Cloud Platform Engineer Lead Consultant is a full sta

Full-time

USD 110,000.00 - 181,025.00 per year

Job Details

Skills

Artificial Intelligence
DevOps
Google Cloud
Google Cloud Platform
Machine Learning (ML)

Summary

Role: Google Cloud Platform DevOps Engineer

Location: Schaumburg, IL

Work Mode: Hybrid (2-3 days/week in office)

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: 9069257
Posted 2 days 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

•

11d ago

Easy Apply

Contract

Depends on Experience

Google Cloud Platform Cloud Engineer / Devops Engineer

Hybrid in Chicago, Illinois

•

4d ago

Easy Apply

Third Party, Contract

Depends on Experience

Google Cloud Platform Cloud Engineer

Hybrid in Chicago, Illinois

•

9d ago

Easy Apply

Contract, Third Party

Depends on Experience

Google Cloud Platform Engineer Lead (Remote, US)

Remote or Chicago, Illinois

•

Yesterday

Full-time

USD 110,000.00 - 181,025.00 per year