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Remote Observability Jobs in Chicago, IL (NOW HIRING)

GCP Site Reliability Engineer

Buffalo Grove, IL · Remote

$58.25 - $77.50/hr

Remote or Hybrid (Buffalo Grove, IL) Job Type: Contract Job Summary We are seeking a Google Site ... The ideal candidate will have strong experience in incident management, observability, automation ...

We are seeking a full-time, remote Principal AI Architect. The Principal AI Architect role provides ... Ensure AI solutions are designed for performance, scalability, observability, privacy, and ...

We are seeking a full-time, remote Principal AI Architect. The Principal AI Architect role provides ... Ensure AI solutions are designed for performance, scalability, observability, privacy, and ...

Principal AI Architect - Remote

Lombard, IL · On-site +1

$125K - $170K/yr

We are seeking a full-time, remote Principal AI Architect.The Principal AI Architect role provides ... Ensure AI solutions are designed for performance, scalability, observability, privacy, and ...

Location(s) Chicago, Illinois, Downers Grove, Illinois, Remote-AL, Remote-CT, Remote-FL, Remote-GA ... Implement data quality, metadata management, lineage, auditing, and observability capabilities.

Location(s) Chicago, Illinois, Downers Grove, Illinois, Remote-AL, Remote-CT, Remote-FL, Remote-GA ... Implement data quality, metadata management, lineage, auditing, and observability capabilities.

Site Reliability Engineer

Chicago, IL · On-site +1

$100K - $120K/yr

Maintains and configures core observability tools to ensure optimum performance and key metrics ... All full-time positions are hybrid, with many eligible to be completely remote * Fully Paid by ...

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Remote Observability information

See Chicago, IL salary details

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How much do remote observability jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for remote observability in Chicago, IL is $22.15, according to ZipRecruiter salary data. Most workers in this role earn between $18.56 and $23.51 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in a Remote Observability role, and how can they be addressed?

Professionals in Remote Observability often face challenges such as monitoring complex, distributed systems, ensuring reliable data collection, and quickly identifying the root causes of issues without physical access to infrastructure. To address these challenges, it's essential to implement robust monitoring tools, establish clear alerting thresholds, and maintain strong communication with development and operations teams. Regular knowledge-sharing sessions and continuous learning about new observability platforms can also help remote teams stay effective and proactive.

How can I make 2000 a week working from home?

Remote observability roles often pay between $20 and $50 per hour, so earning $2000 weekly typically requires working 40 to 50 hours. Developing skills in monitoring tools, cloud platforms, and scripting can increase earning potential, and certifications like AWS or Kubernetes may help access higher-paying positions. Consistent remote work, strong technical skills, and experience are key to reaching this income level.

What is the difference between Remote Observability vs Remote Monitoring?

AspectRemote ObservabilityRemote Monitoring
FocusComprehensive system insights, including logs, metrics, and tracesTracking specific system metrics and alerts
ToolsOpenTelemetry, Grafana, JaegerNagios, Zabbix, Datadog
Work EnvironmentDevOps, SRE teams managing complex distributed systemsIT operations teams overseeing system health
CredentialsKnowledge of cloud platforms, scripting, and monitoring toolsBasic networking, system administration skills

Remote Observability provides a holistic view of system health through logs, metrics, and traces, enabling proactive troubleshooting. Remote Monitoring focuses on tracking specific metrics and alerts to detect issues. While both roles involve system oversight, observability offers deeper insights for complex environments, whereas monitoring emphasizes real-time alerts for system stability.

What is the salary of observability specialist?

The salary of an observability specialist typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced professionals with skills in monitoring tools like Prometheus or Grafana can earn higher salaries.

How can I make $100,000 a year working from home?

In remote observability roles, earning $100,000 annually typically requires a combination of advanced technical skills in monitoring tools, cloud platforms, and scripting, along with experience in system architecture and troubleshooting. Certifications like AWS or Kubernetes can enhance earning potential, and working in a senior or specialized position often offers higher salaries. Building a strong portfolio and gaining experience in high-demand areas can also help achieve this income level remotely.

What are the key skills and qualifications needed to thrive as a Remote Observability Engineer, and why are they important?

To thrive as a Remote Observability Engineer, you need expertise in monitoring, logging, and tracing, typically supported by experience in systems administration or DevOps and a relevant technical degree. Familiarity with observability tools like Prometheus, Grafana, Datadog, ELK Stack, and cloud monitoring platforms, as well as certifications such as AWS Certified Cloud Practitioner or Google Professional Cloud DevOps Engineer, is highly valued. Strong analytical thinking, problem-solving, and effective communication are vital soft skills for diagnosing issues and collaborating with distributed teams. These skills and qualifications ensure reliable system performance, rapid incident response, and seamless user experiences in complex, cloud-based environments.

What is remote observability?

Remote observability refers to the ability to monitor, measure, and understand the state and performance of systems, applications, or infrastructure from a distance, typically using specialized tools and platforms. It is crucial for organizations that operate distributed or cloud-based environments, as it allows teams to detect issues, analyze metrics, and ensure reliability without needing physical access to the hardware. Remote observability often involves collecting logs, metrics, traces, and other telemetry data to provide a comprehensive view of system health and performance.

How to make 1000 a week remotely?

Remote observability roles often pay between $20 and $50 per hour, so earning $1,000 weekly typically requires working 20 to 50 hours. Developing skills in monitoring tools, scripting, and cloud platforms can increase earning potential, and certifications like AWS or Kubernetes may help access higher-paying opportunities.
What are the most commonly searched types of Observability jobs in Chicago, IL? The most popular types of Observability jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Remote Observability jobs? Cities near Chicago, IL with the most Remote Observability job openings:
Infographic showing various Remote Observability job openings in Chicago, IL as of July 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 93% Full Time, 2% Contract, and 2% Nights. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $46,072 per year, or $22.1 per hour.

Observability Engineer / Site Reliability Engineer (Remote)

Ontrac Solutions

Chicago, IL • Remote

$90 - $100/hr

Full-time

Posted 12 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 seeking an experienced Observability / Site Reliability Engineer (SRE) to design, scale, and maintain our enterprise monitoring and alerting ecosystems. In this role, you will bridge the gap between development and operations by ensuring high availability, performance tuning, and deep visibility across distributed multi-cloud and native systems. You will play a critical role in automating infrastructure and building robust observability pipelines using industry-leading cloud-native tools.

Key Responsibilities
  • GCP & Cloud Management: Architect, optimize, and maintain observability frameworks across cloud environments, with a specific focus on implementing Google Cloud Platform (GCP) observability tools (Cloud Logging, Cloud Monitoring, Trace, and Profiler).
  • Platform Management: Design, deploy, and maintain robust observability stacks across hybrid ecosystems, utilizing Prometheus, Grafana, and cloud-native integrations.
  • Automation & IaC: Drive infrastructure-as-code (IaC) initiatives using Terraform and Ansible to ensure consistent, automated deployments of infrastructure and observability tooling.
  • CI/CD Integration: Build, maintain, and optimize deployment workflows within Kubernetes and Google Kubernetes Engine (GKE) / OpenShift environments using GitHub, Harness, and other CI/CD pipelines.
  • System Performance: Deeply analyze Linux/Unix system administration architectures, optimizing compute resource metrics and performance tuning across complex, distributed environments.
  • SRE Evangelism: Implement SRE best practices, establishing meaningful Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Error Budgets to ensure platform reliability.
Required Skills & Qualifications
  • Cloud Infrastructure: Proven engineering experience within Google Cloud Platform (GCP) environments, particularly managing cloud-native monitoring and compute resources.
  • Observability Tooling: Hands-on experience with Grafana, Prometheus, and Google Cloud Observability suites. Direct experience with GEM (Grafana Enterprise Metrics) is highly desirable.
  • OS & Scripting: Expert-level knowledge of Linux/Unix operating systems paired with strong shell scripting skills for automation and systems management.
  • Programming: Professional coding proficiency in at least one modern language (Python, Go, Java, Perl, or advanced Shell).
  • Containers & Orchestration: Hands-on experience managing containerized applications on Kubernetes, GKE, and/or Red Hat OpenShift.

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