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Remote Google Cloud Engineer Jobs in Romeoville, IL

The Hartford

Sr. Cloud Architect

Chicago, IL · On-site +1

$137K - $205K/yr

Sr Cloud Engineer - IE07NE We're determined to make a difference and are proud to be an insurance ... This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ...

The Hartford

Sr. Cloud Architect

Chicago, IL · On-site +1

$137K - $205K/yr

Sr Cloud Engineer - IE07NE We're determined to make a difference and are proud to be an insurance ... This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ...

Orvixengr

Full Stack Developer

Chicago, IL · Remote

$35 - $65/hr

Cloud Infrastructure: Work with cloud services such as AWS, Microsoft Azure, or Google Cloud to ... Remote Schedule: * Monday to Friday Benefits: * 401(k) matching * Dental insurance * Health ...

YO AI Labs

AI/ML Engineer - Remote

Chicago, IL · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure ...

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All JobsGoogle Cloud Engineer JobsRemote Google Cloud Engineer JobsRemote Google Cloud Engineer Jobs in Romeoville, IL

Remote Google Cloud Engineer information

See Romeoville, IL salary details

$24

$64

$88

How much do remote google cloud engineer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for remote google cloud engineer in Romeoville, IL is $64.12, according to ZipRecruiter salary data. Most workers in this role earn between $54.66 and $73.03 per hour, depending on experience, location, and employer.

What is a remote Google Cloud engineer?

Remote Google Cloud Engineers are IT professionals who design, develop, and manage cloud-based solutions using Google Cloud Platform (GCP) while working from a location outside of a traditional office. Their responsibilities typically include setting up cloud infrastructure, optimizing cloud resources, ensuring security, and supporting deployment of applications on GCP. They collaborate with other team members virtually, using online tools to communicate and manage projects. This role requires expertise in cloud technologies, programming, and a strong understanding of GCP services.

What skills and qualifications are needed to be a remote Google Cloud engineer?

To thrive as a Remote Google Cloud Engineer, you need a strong background in cloud architecture, networking, and programming, usually supported by a degree in computer science or related field and relevant cloud certifications. Familiarity with Google Cloud Platform (GCP) services, infrastructure-as-code tools like Terraform, and DevOps systems such as Kubernetes and CI/CD pipelines is typically required. Excellent problem-solving skills, self-motivation, and effective remote communication are vital soft skills for this role. These abilities ensure secure, scalable cloud solutions and seamless collaboration in distributed work environments.

How does a remote Google Cloud engineer collaborate with team members and stakeholders across different time zones?

As a Remote Google Cloud Engineer, you'll frequently work with geographically distributed teams using cloud-based collaboration tools such as Slack, Jira, and Google Workspace. Effective communication and documentation are essential, as you'll often coordinate with developers, project managers, and clients in various time zones. It's common to have flexible meeting schedules and asynchronous workflows to ensure smooth project progress. Cultivating proactive communication habits and clarifying expectations with stakeholders are key to overcoming remote collaboration challenges.

What is the difference between Remote Google Cloud Engineer vs Remote Cloud Solutions Architect?

AspectRemote Google Cloud EngineerRemote Cloud Solutions Architect
CertificationsGoogle Cloud Certified Professional Cloud EngineerGoogle Cloud Certified Professional Cloud Architect, plus solutions design certifications
Work EnvironmentFocuses on deploying, managing, and optimizing Google Cloud servicesDesigns overall cloud solutions, often overseeing multiple cloud platforms
Employer & Industry UsageTech companies, cloud service providers, enterprises using Google CloudConsulting firms, large enterprises, cloud service providers

The Remote Google Cloud Engineer primarily handles the deployment and management of Google Cloud services, requiring technical expertise in cloud infrastructure. In contrast, the Remote Cloud Solutions Architect designs comprehensive cloud solutions, often across multiple platforms, and focuses on architecture and strategy. Both roles require Google Cloud certifications but differ in scope and responsibilities.

What are popular job titles related to Remote Google Cloud Engineer jobs in Romeoville, IL?

For Remote Google Cloud Engineer jobs in Romeoville, IL, the most frequently searched job titles are:

What cities near Romeoville, IL are hiring for Remote Google Cloud Engineer jobs?

Cities near Romeoville, IL with the most Remote Google Cloud Engineer job openings:

Remote Google Cloud Engineer jobs near you
Infographic showing various Remote Google Cloud Engineer job openings in Romeoville, IL as of June 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 35% Physical, 3% Hybrid, and 62% Remote job distribution, with an average salary of $133,367 per year, or $64.1 per hour.

Senior BigPanda Engineer / AIOps Subject Matter Expert (Remote)

Chicago, IL • Remote

Ontrac Solutions
See more jobs at Ontrac Solutionsexternal

$90 - $100/hr

Full-time

Re-posted 26 days ago

Job description

About Ontrac Solutions

Ontrac Solutions is a leading technology consulting firm, specializing in cutting-edge solutions that drive business transformation. We partner with organizations to modernize their infrastructure, streamline processes, and deliver tangible results. By creating value beyond the hype, we help businesses modernize technology and build new strategies that fuel growth. Our team is committed to innovation, collaboration, and excellence, empowering our clients to succeed in an evolving digital landscape.

Role Overview

We are looking for a Senior BigPanda Engineer and AIOps subject matter expert with over 5 years of dedicated platform experience. This position requires a rare blend of deep technical administration, strategic consulting, and mentorship capability. You will serve as the chief architect of our event correlation engine, transforming high-volume telemetry data from multi-cloud environments and hybrid monitoring systems into actionable, automated operational insights.

Key Responsibilities
  • Platform Ownership: Act as the primary platform Administrator, Consultant, and Trainer for the BigPanda ecosystem, steering its long-term roadmap and maturity.
  • GCP Data Ingestion: Design and maintain seamless ingestion pipelines from Google Cloud Platform (GCP) telemetry streams (including GCP Cloud Monitoring/Logging) into the BigPanda correlation platform.
  • Lifecycle Architecture: Own the end-to-end observability lifecycle, explicitly driving strategy for high-scale data ingestion, normalization, deduplication, correlation, and enrichment across enterprise cloud ecosystems.
  • ITSM & Tool Integration: Architect seamless integrations between BigPanda, incoming monitoring systems (like Moogsoft, Netcool, Dynatrace), and downstream ITSM ticketing/incident response workflows.
  • AIOps Strategy: Apply advanced AIOps concepts to reduce alert fatigue, drastically lower Mean Time to Resolution (MTTR), and automate root-cause analysis.
  • Mentorship & Enablement: Lead training sessions and strategy workshops for cross-functional engineering teams, utilizing a clear, confidence-inspiring "whiteboard approach" to explain complex data relationships.
Required Skills & Qualifications
  • BigPanda Expertise: 5+ years of hands-on experience spanning the lifecycle of BigPanda implementation, configuration, and day-to-day administration.
  • GCP Exposure: Practical experience working with Google Cloud Platform (GCP) monitoring frameworks and understanding how cloud-native events map to correlation engines.
  • Monitoring Ecosystem: Solid foundational experience with enterprise monitoring and APM tools such as Moogsoft, Netcool, and Dynatrace.
  • AIOps & ITSM: Deep conceptual and practical understanding of algorithmic event correlation, alert noise reduction, and modern ITSM processes.
  • Communication: Exceptional verbal and visual communication skills, with a proven ability to map out complex technical workflows on the fly.

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