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Google Cloud Platform Cloud Engineer / Devops Engineer

Whiztek Corp

Hybrid in Chicago, Illinois • 9d ago

Easy Apply

Contract, Third Party

Depends on Experience

DevOps Private/Public Cloud Engineer

Motorola Solutions

Chicago, Illinois • Today

Full-time

USD 90,000.00 - 115,000.00 per year

Information Technology - DevOps Engineer (Cloud Engineer)

Xcelo Group Inc

Chicago, Illinois • Today

Easy Apply

Full-time, Part-time, Third Party, Contract

USD 0-90

Sr. Cloud Engineer

Motion Recruitment Partners, LLC

Chicago, Illinois • Today

Easy Apply

Contract

$60 - $75

Lead Cloud Infrastructure Engineer

Motion Recruitment Partners, LLC

Chicago, Illinois • Today

Easy Apply

Full-time

$160000 - $200000

Staff Cloud Engineer/Finance/AWS/Chicago, IL LOCAL

Motion Recruitment Partners, LLC

Chicago, Illinois • Today

Easy Apply

Full-time

$190000 - $210000

Principal Cloud Engineer Azure

Bank of Montreal

Chicago, Illinois • Today

Full-time

USD 112,200.00 - 209,000.00 per year

Senior Network Engineer - Hybrid Cloud, Automation

Judge Group, Inc.

Chicago, Illinois • Today

Contract

USD 60.00 - 80.00 per hour

Cloud Data Platform Engineer

Northern Trust

Chicago, Illinois • Today

Full-time

USD 137,400.00 - 233,600.00 per year

Cloud Engineer, Senior Staff Platform Engineer / Subject Matter Expert (SME)

Maxonic, Inc.

Remote • 8d ago

Easy Apply

Contract

Depends on Experience

Environment Build Engineer/Devops Engineer

Corporate Solutions General, Inc.

Chicago, Illinois • Today

Easy Apply

Full-time, Part-time, Third Party, Contract

M365 Cloud Engineer - US Only, GCC High

Proven IT

Tinley Park, Illinois • Today

Full-time

USD 125,000.00 - 140,000.00 per year

Cloud Data Engineer

Evanston Northwestern Healthcare

Skokie, Illinois • Today

Full-time

USD 41.64 - 64.54 per hour

Cloud Engineer (Microsoft Entra ID)

DPP Tech, Inc.

Remote • 2d ago

Easy Apply

Contract

Depends on Experience

Lead Cloud Security Engineer

Request Technology, LLC

Hybrid in Chicago, Illinois • 14d ago

Easy Apply

Full-time

$180,000 - $200,000

DevOps/SRE Engineer

Apex Systems

Chicago, Illinois • Today

Easy Apply

Full-time

$70 - $85 per hour

Senior DevOps Cloud Engineer

iSpace, Inc

Remote • Today

Easy Apply

Contract

$60 - $70

DevOps / Cloud Engineer - Automation & CI/CD

CenCore LLC

Remote or Springville, Utah • Today

Full-time

Senior Cloud DevOps Network Engineer (FedRAMP, Azure, Advanced Networking)

OneStream Software LLC

Remote • Today

Full-time

USD 140,000.00 - 172,250.00 per year

DevOps / Site Reliability Engineer ID70127

AgileEngine

Chicago, Illinois • Today

Full-time

Google Cloud Platform DevOps AI Engineer

Whiztek Corp

Hybrid in Schaumburg, Illinois • 3d ago

Easy Apply

Third Party, Contract

Depends on Experience

Google Cloud Platform Engineer / Devops with AI

Whiztek Corp

Hybrid in Schaumburg, Illinois • 2d ago

Easy Apply

Contract, Third Party

Depends on Experience

Lead DevOps/Build Engineer

Dale Workforce Solutions

Remote • Today

Easy Apply

Full-time

Depends on Experience

Sr. Cloud Engineer

System One

Remote • 2d ago

Easy Apply

Contract

$73

Senior Azure Cloud Engineer / Architect

Advent Global Solutions, Inc.

Remote • 11d ago

Easy Apply

Contract

Depends on Experience

Azure DevOps Engineer

Bizoforce Inc

Remote • 28d ago

Easy Apply

Contract

$40 - $50

Senior Azure Cloud Build/Infra Engineer

Infinite Computer Solutions (ICS)

Remote • Yesterday

Easy Apply

Full-time

$60,000 - $80,000

Cloud Security Engineer

Zettalogix INC

Remote • Today

Easy Apply

Full-time

Depends on Experience

Cloud Platform Engineer / Mid Level / Remote

Motion Recruitment Partners, LLC

Remote • Today

Easy Apply

Full-time

$80000 - $120000

Senior Cloud Computing Systems Engineer

SAPSOL Technologies Inc.

Remote • Today

Full-time

Job Details

Skills

GCP
Cloud Engineer
Devops
Google Cloud
AI
kubernetes
Docker
GKS

Summary

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 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: 9064814
Posted 11 days ago

Fitment

Dice Job Match Score™

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Hybrid in Schaumburg, Illinois

•

2d ago

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 se

Easy Apply

Contract, Third Party

Depends on Experience

Google Cloud Platform DevOps AI Engineer

Hybrid in Schaumburg, Illinois

•

3d ago

Role: Google Cloud Platform DevOps AI Engineer Location: Schaumburg, IL Work Mode: Hybrid (2-3 days/week in office) Job Desccription: 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 Co

Easy Apply

Third Party, Contract

Depends on Experience

Google Cloud Platform Engineer

Hybrid in Schaumburg, Illinois

•

3d 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

Contract, Third Party

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

Job Details

Skills

GCP
Cloud Engineer
Devops
Google Cloud
AI
kubernetes
Docker
GKS

Summary

Devops Engineer with Google Cloud Platform
Chicago, 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: 9064814
Posted 11 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.

Hybrid in Schaumburg, Illinois

•

2d ago

Easy Apply

Contract, Third Party

Depends on Experience

Google Cloud Platform DevOps AI Engineer

Hybrid in Schaumburg, Illinois

•

3d ago

Easy Apply

Third Party, Contract

Depends on Experience

Google Cloud Platform Engineer

Hybrid in Schaumburg, Illinois

•

3d ago

Easy Apply

Contract, Third Party

Depends on Experience

Staff Agentic Software Engineer

Chicago, Illinois

•

Today

Full-time

USD 125,800.00 - 209,600.00 per year

Google Cloud Platform Cloud Engineer / Devops Engineer

Skills

Summary

Dice Job Match Score™

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Google Cloud Platform Cloud Engineer / Devops Engineer

Job Details

Skills

Summary

Dice Job Match Score™

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