ZipRecruiter

Log In

2

Remote Cloud Computing Jobs in Chicago, IL (NOW HIRING)

Canonical

Telco Cloud Field Engineer

Chicago, IL · On-site +1

This transformation is driven by open source software, cloud computing and the move to VNF / CNF ... Remote-based, Americas and EMEA What your day will look like * Translate Service Provider ...

Tempus

Bioinformatics Scientist

Chicago, IL · On-site +1

Expertise with cloud computing environments (AWS or GCP), container solutions (Docker), and common ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

New

Getac, Inc.

Business Development Manager

Chicago, IL · Remote

$95K - $125K/yr

We provide mobile rugged computing and video solutions, software, and cloud services to challenging ... The position is remote, with a preference for candidates near a major airport city. Essential Job ...

Getac, Inc.

Business Development Manager

Chicago, IL · Remote

$95K - $125K/yr

We provide mobile rugged computing and video solutions, software, and cloud services to challenging ... The position is remote, with a preference for candidates near a major airport city. Essential Job ...

zerohash

VP of Engineering, Trade (Remote)

Chicago, IL · Remote

$184K - $237K/yr

Cloud computing experience, with AWS highly desirable * BS or MS in Computer Science or Engineering, or equivalent experience * Strong bias toward serving your team and stakeholders, with a growth ...

next page

Showing results 1-20

All JobsCloud Computing JobsRemote Cloud Computing JobsRemote Cloud Computing Jobs in Chicago, IL

Remote Cloud Computing information

See Chicago, IL salary details

$11

$63

$87

How much do remote cloud computing jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for remote cloud computing in Chicago, IL is $63.57, according to ZipRecruiter salary data. Most workers in this role earn between $55.72 and $76.25 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in remote cloud computing roles, and how can they be addressed?

Remote cloud computing professionals often encounter challenges related to communication, collaboration across time zones, and ensuring robust security practices when accessing sensitive data remotely. To address these issues, it's important to establish clear communication channels, use collaborative tools like Slack or Microsoft Teams, and follow company security protocols such as VPN usage and multi-factor authentication. Regular check-ins with your team and continuous learning about emerging cloud security trends can also help maintain productivity and safeguard data in a remote environment.

What are the key skills and qualifications needed to thrive as a remote cloud computing professional?

To thrive as a Remote Cloud Computing professional, you need a strong background in IT infrastructure, cloud architecture, and virtualization, typically supported by a degree in computer science or a related field. Familiarity with major cloud platforms like AWS, Azure, or Google Cloud, as well as certifications such as AWS Certified Solutions Architect or Microsoft Certified: Azure Administrator, is highly valuable. Excellent problem-solving, communication, and self-management skills help you effectively collaborate and troubleshoot in a distributed work environment. These skills ensure secure, scalable, and efficient cloud solutions that meet organizational needs, especially when working remotely.

What is remote cloud computing?

Remote cloud computing refers to the delivery of computing services—such as servers, storage, databases, networking, software, and analytics—over the internet instead of using local servers or personal devices. Professionals in this field work from remote locations and help businesses manage, deploy, and maintain cloud-based infrastructure and services. This allows companies to scale resources, improve collaboration, and reduce IT costs while enabling employees to work from anywhere with an internet connection.

What is the difference between Remote Cloud Computing vs Remote Cloud Support Specialist?

AspectRemote Cloud ComputingRemote Cloud Support Specialist
Required CredentialsCloud certifications (AWS, Azure, GCP), technical degreesCloud certifications, technical knowledge, customer service skills
Work EnvironmentDesigning, deploying, managing cloud infrastructureProviding technical support, troubleshooting cloud issues
Employer & Industry UsageTech companies, cloud service providers, enterprisesIT support firms, cloud service providers, enterprise IT teams
Common Search & Comparison IntentUnderstanding cloud roles, career paths in cloud computingSupport roles, troubleshooting cloud problems, customer assistance

Remote Cloud Computing involves designing and managing cloud infrastructure, requiring technical certifications and a focus on deployment. In contrast, Remote Cloud Support Specialists focus on troubleshooting and assisting users with cloud issues, emphasizing customer service skills. Both roles are integral to cloud services but differ in responsibilities and skill sets.

What are the most commonly searched types of Cloud Computing jobs in Chicago, IL? The most popular types of Cloud Computing jobs in Chicago, IL are:
What are popular job titles related to Remote Cloud Computing jobs in Chicago, IL? For Remote Cloud Computing jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Cloud Computing jobs in Chicago, IL look for? The top searched job categories for Remote Cloud Computing jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Remote Cloud Computing jobs? Cities near Chicago, IL with the most Remote Cloud Computing job openings:
Remote Cloud Computing jobs near you
Infographic showing various Remote Cloud Computing job openings in Chicago, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $132,234 per year, or $63.6 per hour.

Cloud Infrastructure Expert - AI Trainer

Mercor

Chicago, IL • Remote

$1.7K - $2.1K/wk

Full-time

Re-posted 19 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Cloud Computing Expert
Type: Contract
Compensation: $1,750–$2,150/task
Location: Remote

Role Responsibilities

  • Build a realistic digital workspace using HashiCorp Terraform, Datadog, Splunk, GitHub Actions, and Okta. Reflect real-world architecture docs, runbooks, and incident post-mortems.
  • Design multi-step tasks that challenge frontier AI agents by navigating multiple apps and stakeholders.
  • Collaborate with cloud-computing experts to design environments and review scenarios for realism and rigor.
  • Work asynchronously with research teams to refine task designs and evaluation criteria for cloud-computing agent benchmarks.
  • Contribute to frontier AI research and benchmarking. Your work informs how leading labs train and evaluate AI systems.

Qualifications

Must-Have

  • 3+ years of full-time experience at a major hyperscaler (AWS, Azure, GCP, Oracle Cloud), a cloud-data platform (Snowflake, Databricks), or a Fortune 500 platform/infrastructure team.
  • Background in cloud architecture, site reliability engineering, platform engineering, DevOps/DevSecOps, or cloud FinOps.
  • Day-to-day use of HashiCorp Terraform, Pulumi, Splunk, Datadog, GitHub Actions, CircleCI, and Okta/Microsoft Entra ID.
  • Strong analytical thinking and writing skills.

Preferred

  • Certifications: AWS Solutions Architect, Azure Solutions Architect, GCP Professional Cloud Architect, CKA/CKAD.

Compensation & Legal

  • Task Completion Pay: Competitive and based on task quality (~$1,750–$2,150 per completed task, subject to change as the project evolves).
  • Performance Bonus: Top performers receive a weekly bonus incentive on top of their per task rate.
  • Hourly Opportunity: Top performers may transition to an hourly compensation model based on sustained quality and throughput.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


#hiringmercor