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Google Cloud Platform Engineer / Devops with AI

Whiztek Corp

Hybrid in Schaumburg, Illinois • Today

Easy Apply

Third Party, Contract

Depends on Experience

VP - Platform Engineer - Google Cloud Platform DevOps

StevenDouglas

Remote • 3d ago

Easy Apply

Full-time

170,000 - 210,000

Google Cloud Platform Data Engineer with AI position remote

Pristine Resource

Remote • 19d ago

Easy Apply

Full-time

Depends on Experience

Google Cloud Platform Cloud Engineer / Devops Engineer

Whiztek Corp

Hybrid in Chicago, Illinois • 6d ago

Easy Apply

Contract, Third Party

Depends on Experience

Senior DevOps AI Platform Engineer

GXO Logistics

Remote or North Carolina • Today

Full-time

Google Cloud Platform DevOps Engineer

Whiztek Corp

Hybrid in Schaumburg, Illinois • 4d ago

Easy Apply

Contract, Third Party

Depends on Experience

DevOps Enablement Engineer & AI Adoption Specialist

EPAM Systems

Remote • Today

Full-time

DevOps Enablement Engineer & AI Adoption Specialist

EPAM Systems

Remote or New York, New York • Today

Full-time

Google Cloud Platform DevOps Engineer

Hudson IT

Schaumburg, Illinois • Today

Full-time

USD 42.00 - 45.00 per hour

Google Cloud Platform AI/ML Engineer

CoSourcing Partners

Chicago, Illinois • Today

Full-time

DevOps & Site Reliability Engineer (Digital) Deerfield, IL

TATA Consultancy Services Limited

Deerfield, Illinois • 25d ago

Easy Apply

Full-time

110,000 - 150,000

Google Cloud Engineer

Whiztek Corp

Hybrid in Schaumburg, Illinois • 13d ago

Easy Apply

Contract

Depends on Experience

Director, Enterprise Architecture

Collinwood Technology Partners

Chicago, Illinois • 18d ago

Easy Apply

Full-time

Depends on Experience

Google Cloud Platform Cloud Engineer

Whiztek Corp

Hybrid in Chicago, Illinois • 11d ago

Easy Apply

Third Party, Contract

Depends on Experience

Lead DevOps/Build Engineer

Dale Workforce Solutions

Remote • 3d ago

Easy Apply

Full-time

Depends on Experience

Staff SRE

Selby Jennings

Chicago, Illinois • Today

Full-time

Applied AI Engineering Intern

CCC Information Services Inc.

Chicago, Illinois • Today

Part-time

USD 20.00 - 43.00 per hour

Lead AWS Infrastructure Engineer/Chicago, IL LOCAL

Motion Recruitment Partners, LLC

Chicago, Illinois • Today

Easy Apply

Full-time

$160000 - $190000

Urgent role for Azure AI Engineer (End to End Engineering Lead :: Fremont, CA Onsite/Remote

Triunity Software

Remote • 5d ago

Easy Apply

Contract, Third Party

Depends on Experience

Looking for Senior Java Spring Developer with Drools or jBPM platform Experience

Vrddhi Solutions LLC

Remote • 13d ago

Easy Apply

Contract

Depends on Experience

IT Tester - Data

INSPYR Solutions

Remote • 5d ago

Easy Apply

Contract

Depends on Experience

Java Springboot Developer

Kforce Technology Staffing

Chicago, Illinois • Today

Contract

$51 - $69 hourly

Senior Software Engineer / .NET / Hybrid in Chicagoland

Motion Recruitment Partners, LLC

Bolingbrook, Illinois • Today

Easy Apply

Full-time

$120000 - $137000

Lead Cloud Infrastructure Engineer

Motion Recruitment Partners, LLC

Chicago, Illinois • Today

Easy Apply

Full-time

$160000 - $200000

SAP Development Consultant - Consumer Goods

Accenture LLP

Chicago, Illinois • Today

Full-time

USD 70,350.00 per year

SAP Development Consultant - Resources/Energy

Accenture LLP

Chicago, Illinois • Today

Full-time

USD 70,350.00 per year

SAP Development Consultant - Resources/Chemicals & Natural Resources

Accenture LLP

Chicago, Illinois • Today

Full-time

USD 70,350.00 per year

Associate Software Engineer / Software Engineer

Applied Systems, Inc.

Chicago, Illinois • Today

Full-time

USD 60,000.00 - 125,000.00 per year

Senior Software Engineer / Contract / Hybrid in Chicago Suburbs

Motion Recruitment Partners, LLC

Chicago, Illinois • Today

Easy Apply

Contract

$60 - $70

ServiceNow Developer (Sr. Associate)

Huron

Remote or Chicago, Illinois • Today

Full-time

USD 100,000.00 - 135,000.00 per year

Job Details

Skills

Devops
AI Agents
Vertex AI
GenAI
GEAP
GCP
Google CLoud

Summary

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

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: 9071107
Posted 12 hours ago

Fitment

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6d 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

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11d ago

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 DoDesig

Easy Apply

Third Party, Contract

Depends on Experience

Job Details

Skills

Devops
AI Agents
Vertex AI
GenAI
GEAP
GCP
Google CLoud

Summary

Google Cloud Platform Engineer / Devops
Schaumburg, IL (Hybrid)

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: 9071107
Posted 12 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.

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