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Google Devops Jobs in Chicago, IL (NOW HIRING)

YO AI Labs

DevOps Expert - Remote

Chicago, IL · Remote

$30 - $80/hr

Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft ... Azure DevOps * Cloud Infrastructure * Site Reliability Engineering (SRE) * Platform Engineering

New

Edge Computing

Devops Engineer

Highland Park, IL · On-site

$53.75 - $73.75/hr

Experience with Amazon Web Services(AWS) or Google Cloud Platform(GCP) * Experience with ... Absolutely must be a team player (DevOps) * Boundless passion for technology and a willingness to ...

Edge Computing

Devops Engineer

Highland Park, IL

$53.75 - $73.75/hr

Experience with Amazon Web Services(AWS) or Google Cloud Platform(GCP) * Experience with ... Absolutely must be a team player (DevOps) * Boundless passion for technology and a willingness to ...

Argonne National Laboratory

DevOps Engineer

Lemont, IL · On-site

$53.25 - $72.75/hr

The ALCF seeks a DevOps engineer to support infrastructure within ALCF and in support of the ... Deploy, manage, and operate managed Kubernetes clusters (Amazon EKS, Azure AKS, Google GKE, or ...

Argonne National Laboratory

DevOps Engineer

Lemont, IL · On-site

$69.75 - $108.81/hr

The ALCF seeks a DevOps engineer to support infrastructure within ALCF and in support of the ... Deploy, manage, and operate managed Kubernetes clusters (Amazon EKS, Azure AKS, Google GKE, or ...

Argonne National Laboratory

DevOps Engineer

Lemont, IL · Hybrid

$53.25 - $72.75/hr

The ALCF seeks a DevOps engineer to support infrastructure within ALCF and in support of the ... Deploy, manage, and operate managed Kubernetes clusters (Amazon EKS, Azure AKS, Google GKE, or ...

Randstad Digital

Sr DevOps Engineer

Chicago, IL · On-site

$70 - $75/hr

Our client in Chicago, IL is looking for a Senior DevOps Engineer to join their team for a ... Working knowledge of core Google Cloud Platform services In depth understanding of Kubernetes ...

Capital One

Lead Software Engineer, DevOps

Riverwoods, IL · On-site

$54.75 - $75/hr

... Google Cloud Platform) * At least 4 years of Unix or Linux system administration experience ... of DevOps Engineering experience * 4+ years of experience with coding and scripting (Python, SQL ...

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Google Devops information

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How much do google devops jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for google devops in Chicago, IL is $62.36, according to ZipRecruiter salary data. Most workers in this role earn between $52.26 and $71.59 per hour, depending on experience, location, and employer.

What is a Google DevOps?

A Google DevOps job involves managing and automating the deployment, monitoring, and scaling of applications and infrastructure on Google Cloud. DevOps engineers at Google work to streamline development workflows, improve system reliability, and implement best practices for CI/CD and site reliability engineering. They collaborate with developers, operations, and security teams to ensure seamless application performance. Strong knowledge of cloud services, automation tools, and programming is essential for this role.

What are some common challenges faced by Google DevOps professionals in their day-to-day work?

Google DevOps professionals often encounter challenges such as maintaining high system reliability during frequent deployments and rapidly evolving infrastructure requirements. Balancing automation with security best practices, managing large-scale cloud resources, and ensuring seamless collaboration between development and operations teams are other common hurdles. Adapting quickly to new tools and processes, and relentlessly troubleshooting complex issues, are essential aspects of the role. Successfully navigating these challenges is key to supporting fast-paced product development while maintaining robust and secure applications.

What are the key skills and qualifications needed to thrive in the Google DevOps position, and why are they important?

To thrive as a Google DevOps professional, you need a solid background in cloud computing, automation, CI/CD pipelines, and infrastructure-as-code, usually backed by a degree in computer science or related certifications like Google Cloud Professional DevOps Engineer. Familiarity with tools such as Kubernetes, Terraform, Docker, and Google Cloud Platform services is essential for managing scalable and reliable systems. Strong collaboration, analytical thinking, and troubleshooting skills help drive cross-functional initiatives and resolve issues efficiently. These skills are crucial to maintaining system reliability, optimizing deployment processes, and supporting high-performing engineering teams.

Does Google hire DevOps?

Google hires DevOps engineers to work on infrastructure, automation, and deployment processes using tools like Kubernetes, Docker, and Google Cloud Platform. These roles typically require experience with cloud services, scripting, and continuous integration/continuous deployment (CI/CD) practices.

What are the most commonly searched types of Google Devops jobs in Chicago, IL?

The most popular types of Google Devops jobs in Chicago, IL are:

What are popular job titles related to Google Devops jobs in Chicago, IL?

For Google Devops jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Google Devops jobs in Chicago, IL look for?

The top searched job categories for Google Devops jobs in Chicago, IL are:

Google Devops jobs near you
Infographic showing various Google Devops job openings in Chicago, IL as of August 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Contract. Highlights an 72% Physical, 4% Hybrid, and 24% Remote job distribution, with an average salary of $129,704 per year, or $62.4 per hour.

Google Cloud Platform DevOps Engineer

Schaumburg, IL • On-site

Whiztek Corp
Software Development • 11 - 50 employees
Learn more about Whiztek Corpexternal

$52 - $71.25/hr

Other

Posted 2 days ago

New

Job description

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

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