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Remote Observability Engineer Jobs in Evanston, IL

Kemper

Principal Data Engineer

Chicago, IL · On-site +1

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.

Kemper

Principal Data Engineer

Downers Grove, IL · On-site +1

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.

Origami Risk LLC

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 ...

Origami Risk LLC

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 ...

HirexHire

AI Cloud Engineer

Elk Grove Village, IL · Remote

$55 - $73.50/hr

Chicago, IL (Remote) Industry: E-Commerce Company Size: What They Do: Our client offers a powerful ... Implement monitoring, alerting, and observability solutions that ensure platform reliability ...

HirexHire

AI Cloud Engineer

Elk Grove Village, IL · Remote

$55 - $73.50/hr

Chicago, IL (Remote) Industry: E-Commerce Company Size: What They Do: Our client offers a powerful ... Implement monitoring, alerting, and observability solutions that ensure platform reliability ...

HHAeXchange

Platform Engineer

Mundelein, IL · Remote

Position is remote for candidates located within the NYC, DC-Baltimore, and Minneapolis metro areas ... Design and implement monitoring, alerting, and observability frameworks across the platform stack

HHAeXchange

Platform Engineer

Mundelein, IL · Remote

Position is remote for candidates located within the NYC, DC-Baltimore, and Minneapolis metro areas ... Design and implement monitoring, alerting, and observability frameworks across the platform stack

HHAeXchange

Platform Engineer

Mundelein, IL · Remote

Position is remote for candidates located within the NYC, DC-Baltimore, and Minneapolis metro areas ... Design and implement monitoring, alerting, and observability frameworks across the platform stack

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All JobsObservability Engineer JobsRemote Observability Engineer JobsRemote Observability Engineer Jobs in Evanston, IL

Remote Observability Engineer information

See Evanston, IL salary details

$36.5K

$111.2K

$183.8K

How much do remote observability engineer jobs pay per year?

As of Aug 3, 2026, the average yearly pay for remote observability engineer in Evanston, IL is $111,190.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,700.00 and $145,400.00 per year, depending on experience, location, and employer.

What are the typical collaboration patterns for a Remote Observability Engineer working with distributed teams?

Remote Observability Engineers frequently collaborate with software developers, DevOps teams, and IT operations to ensure systems are monitored effectively and issues are detected early. Working remotely, you'll often use communication tools like Slack, Jira, and video conferencing to coordinate incident response, discuss monitoring strategies, and review system health dashboards. Regular sync meetings and asynchronous updates are common, and you'll likely contribute to documentation and knowledge sharing to keep all stakeholders informed. Building strong communication habits is important, as much of the troubleshooting and improvement work hinges on clear coordination with multiple teams.

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 strong expertise in monitoring, logging, and tracing systems, along with a background in computer science or related technical fields. Familiarity with tools like Prometheus, Grafana, ELK Stack, Datadog, and cloud platforms is typically required, as well as relevant certifications such as AWS Certified Cloud Practitioner or Google Cloud Professional DevOps Engineer. Excellent problem-solving abilities, communication skills, and a proactive mindset help you detect and resolve issues before they impact users. These competencies ensure system reliability, enable rapid incident response, and support seamless collaboration in distributed environments.

What is the difference between Remote Observability Engineer vs Site Reliability Engineer?

AspectRemote Observability EngineerSite Reliability Engineer
CredentialsKnowledge of monitoring tools, scripting, cloud platformsSame as Observability Engineer, plus SRE certifications often preferred
Work EnvironmentFocus on monitoring, logging, and tracing systems remotelyBroader scope including system reliability, incident response, and automation
Industry UsagePrimarily in tech, SaaS, cloud servicesWidely in tech, finance, and large-scale online services

The Remote Observability Engineer specializes in monitoring and analyzing system performance remotely, focusing on tools like logs and metrics. In contrast, the Site Reliability Engineer has a broader role, ensuring overall system reliability, automation, and incident management. While both roles require similar technical skills, SREs often have additional responsibilities related to system resilience and scalability.

What is a Remote Observability Engineer?

A Remote Observability Engineer is a professional responsible for designing, implementing, and maintaining systems that monitor the health, performance, and reliability of software applications and infrastructure from a remote location. They use observability tools to collect and analyze logs, metrics, and traces, helping organizations quickly detect and resolve issues. Their work ensures that distributed systems are transparent, reliable, and efficient, often collaborating with development, operations, and security teams. Remote Observability Engineers often work from anywhere, leveraging cloud-based tools and platforms to manage complex IT environments.
What are popular job titles related to Remote Observability Engineer jobs in Evanston, IL? For Remote Observability Engineer jobs in Evanston, IL, the most frequently searched job titles are:
What cities near Evanston, IL are hiring for Remote Observability Engineer jobs? Cities near Evanston, IL with the most Remote Observability Engineer job openings:
Remote Observability Engineer jobs near you
Infographic showing various Remote Observability Engineer job openings in Evanston, IL as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $111,190 per year, or $53.5 per hour.

Observability Engineer / Site Reliability Engineer (Remote)

Ontrac Solutions

Chicago, IL • Remote

$90 - $100/hr

Full-time

Posted 16 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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