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Remote Observability Engineer Jobs in Chicago, IL

Staff Site Reliability Engineer

Chicago, IL · On-site +1

$160K - $210K/yr

Knowledge of monitoring and observability tools such as Prometheus, Grafana, Datadog, or similar ... We are not open to remote candidates for this role Hybrid: For Chicago-based employees, we follow a ...

Senior DevOps Platform Engineer

Oak Brook, IL · Remote

$131K - $168K/yr

Familiarity with monitoring, observability, and platform reliability practices. * Experience ... Limited Geography Remote - This is a remote position but located within a specific geography. To ...

Senior DevOps Platform Engineer

Oak Brook, IL · Remote

$131K - $168K/yr

Familiarity with monitoring, observability, and platform reliability practices. * Experience ... Limited Geography Remote - This is a remote position but located within a specific geography. To ...

Senior DevOps Platform Engineer

Oak Brook, IL · Remote

$131K - $168K/yr

Familiarity with monitoring, observability, and platform reliability practices. * Experience ... Limited Geography Remote - This is a remote position but located within a specific geography. To ...

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Familiarity with observability tooling (Prometheus/Grafana, ELK Stack or similar) * Knowledge of ...

Showing results 21-40

Remote Observability Engineer information

See Chicago, IL salary details

$39.1K

$119.4K

$197.3K

How much do remote observability engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote observability engineer in Chicago, IL is $119,357.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,500.00 and $156,100.00 per year, depending on experience, location, and employer.

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 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 are the most commonly searched types of Observability Engineer jobs in Chicago, IL?

The most popular types of Observability Engineer jobs in Chicago, IL are:

What are popular job titles related to Remote Observability Engineer jobs in Chicago, IL?

For Remote Observability Engineer jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Remote Observability Engineer jobs in Chicago, IL look for?

The top searched job categories for Remote Observability Engineer jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Remote Observability Engineer jobs?

Cities near Chicago, IL with the most Remote Observability Engineer job openings:

Infographic showing various Remote Observability Engineer job openings in Chicago, IL as of September 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 5% Hybrid, and 95% Remote job distribution, with an average salary of $119,357 per year, or $57.4 per hour.

Senior MLOps Engineer / Databricks / AWS Bedrock / Remote

Chicago, IL • Remote

Motion Recruitment
Recruiting and Staffing Services • 501 - 1,000 employees

$107K - $147K/yr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Job description

An innovative data-driven marketing and technology organization is seeking a Mid-Level AI/ML Ops Engineer to help support and scale AI initiatives across the business. This full-time opportunity offers the chance to work with modern cloud technologies including AWS, Databricks, Docker, Kubernetes, CI/CD pipelines, and AI-powered platforms while helping deploy machine learning solutions into secure and reliable production environments.
This is an excellent opportunity for an operations-minded engineer who enjoys solving production challenges and improving platform reliability. The organization has built a strong reputation for investing in employee development, fostering collaboration, and creating an environment where engineers can deepen their expertise in AI infrastructure, cloud platforms, and MLOps best practices. You'll have direct exposure to cutting-edge AI projects and the opportunity to help shape operational standards as AI adoption continues to grow. Required Skills & Experience
  • 3-5 years of experience in MLOps, DevOps, Cloud Engineering, Platform Engineering, or similar roles
  • Experience deploying machine learning models into production environments
  • Strong knowledge of AWS cloud services
  • Experience with Databricks
  • Hands-on experience with Docker and Kubernetes
  • Proficiency in Python
  • Experience building and maintaining CI/CD pipelines
  • Familiarity with monitoring and observability platforms
  • Experience supporting production environments and troubleshooting incidents
  • Bachelor's degree in Computer Science, Engineering, or equivalent experience
Desired Skills & Experience
  • Experience with AWS Bedrock, SageMaker, or other AI platforms
  • Exposure to large language model deployment and optimization
  • Knowledge of model monitoring and drift detection
  • SQL and data analytics experience
  • Infrastructure as Code experience
  • Experience supporting highly scalable cloud applications
What You Will Be Doing Tech Breakdown
  • 40% AWS Cloud Infrastructure
  • 25% Kubernetes & Container Platforms
  • 20% CI/CD & Automation
  • 15% Monitoring, Observability & Support
Daily Responsibilities
  • 75% Hands-On Engineering
  • 5% Management Duties
  • 20% Team Collaboration
The Offer
  • Bonus Eligible
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • 401(k) Program
  • Paid Vacation & Holidays
  • Professional Development Opportunities
  • Life Insurance
  • Employee Assistance Programs
  • Flexible Work Environment
Applicants must be currently authorized to work in the United States on a full-time basis now and in the future.
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