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Cloud Task Jobs in Chicago, IL (NOW HIRING)

Google Cloud Platform Cloud Engineer

Chicago, IL · On-site

$57.50 - $76.75/hr

... discrete tasks and coordinate via defined protocols * Configure Agent Gateway policies ... Define and provision the Google Cloud Platform infrastructure needed to host agents: networking ...

New

Google Cloud Engineer

Schaumburg, IL · On-site

$55 - $73.50/hr

Familiarity with agent orchestration concepts (multi-agent systems, task graphs, tool calling ... Google Cloud certifications (Professional Cloud Architect, Professional ML Engineer, etc.

Cloud Security Engineer

Chicago, IL · Remote

$57 - $76.25/hr

Strong background in IAM, networking, and cloud security architecture Typical Day to Day (Tasks & Responsibilities): * Get into the weeds of cloud security engineering across AWS (and potentially ...

Cloud Security Engineer

Chicago, IL · Remote

$57 - $76.25/hr

Strong background in IAM, networking, and cloud security architecture Typical Day to Day (Tasks & Responsibilities): * Get into the weeds of cloud security engineering across AWS (and potentially ...

Azure Cloud Architect

Chicago, IL · On-site

$67 - $85.25/hr

Azure Cloud Architect Job Location: Chicago, IL Job Type: Contract Key skills required for the role ... Proficiency in Python Bash or PowerShell for scripting tasks API integrations and pipeline ...

Senior Cloud Engineer

Chicago, IL · On-site

$57.50 - $76.75/hr

The Cloud Operations team is responsible for building and operating Cboe's cloud-based applications ... Take ownership of discrete technical tasks and follow through to completion. * Scope and track work ...

Sr Cloud Engineer

Hammond, IN · Hybrid

$113K - $170K/yr

Senior Cloud Engineer Full Time Perm Way of Work: Hybrid, 3 days on location Salary Range: $113,500 ... Stay focused on the task at hand and promote productivity through good work habits. E-Verify ...

Sr Cloud Engineer

Merrillville, IN · Hybrid

$113K - $170K/yr

Senior Cloud Engineer Full Time Perm Way of Work: Hybrid, 3 days on location Salary Range: $113,500 ... Stay focused on the task at hand and promote productivity through good work habits. E-Verify ...

Senior Cloud Engineer

Chicago, IL · On-site

$57.50 - $76.75/hr

The Cloud Operations team is responsible for building and operating Cboe's cloud-based applications ... Take ownership of discrete technical tasks and follow through to completion. * Scope and track work ...

Principal Cloud Engineer

Hammond, IN · Hybrid

$133K - $200K/yr

Principal Cloud Engineer Full Time Perm Way of Work: Hybrid, 3 days on location Salary Range: $133 ... Stay focused on the task at hand and promote productivity through good work habits. E-Verify ...

Cloud Field, Consulting Sales Engineer

Chicago, IL · On-site

$57.50 - $76.75/hr

... drive tasks to completion. • Willingness and ability to travel as required for customer engagements, internal meetings and cloud marketing events. • Bachelor's degree in Computer Science ...

Principal Cloud Engineer Full Time Perm Way of Work: Hybrid, 3 days on location Salary Range: $133 ... Stay focused on the task at hand and promote productivity through good work habits. E-Verify ...

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Showing results 1-20

Cloud Task information

See Chicago, IL salary details

$11

$63

$87

How much do cloud task jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for cloud task in Chicago, IL is $63.62, according to ZipRecruiter salary data. Most workers in this role earn between $55.77 and $76.35 per hour, depending on experience, location, and employer.

What is a Cloud Task?

A Cloud Task job refers to a background task or asynchronous workload that runs in a cloud environment. It is commonly managed using task queues, allowing tasks to be executed separately from the main application workflow. Cloud tasks help improve performance, scalability, and reliability by enabling efficient job distribution across servers. Typically, they are used for processing tasks like sending emails, generating reports, or handling API requests. Many cloud providers offer managed task services, such as Google Cloud Tasks or AWS Step Functions, to simplify implementation.

What are the primary challenges faced by professionals working in Cloud Task roles?

Professionals in Cloud Task roles often encounter challenges such as maintaining system security, managing cloud resource costs, and keeping up with rapidly evolving cloud technologies. The dynamic nature of the cloud environment requires continuous learning to stay updated on best practices and platform updates. Team members frequently collaborate across IT, security, and development teams to ensure system reliability and compliance. Being proactive and adaptable are key to overcoming these challenges and excelling in the role.

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

To thrive in a Cloud Task role, you need strong cloud computing knowledge, proficiency in managing cloud infrastructure, and experience with platforms like AWS, Microsoft Azure, or Google Cloud. Familiarity with automation tools, scripting languages, and certifications such as AWS Certified Solutions Architect or Azure Administrator are often required. Attention to detail, problem-solving skills, and effective communication are valuable soft skills for the position. These qualifications ensure smooth deployment, monitoring, and maintenance of cloud-based systems essential for modern organizations.

Infographic showing various Cloud Task job openings in Chicago, IL as of August 2026, with employment types broken down into 42% Full Time, 30% Part Time, and 28% Temporary. Highlights an 100% In-person job distribution, with an average salary of $132,334 per year, or $63.6 per hour.

Google Cloud Platform Cloud Engineer

Whiztek Corp

Chicago, IL • On-site

$57.50 - $76.75/hr

Other

Posted 2 days ago

New


Job description

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