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Remote Observability Jobs in Mount Prospect, IL (NOW HIRING)

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 ...

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Remote Observability information

See Mount Prospect, IL salary details

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How much do remote observability jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote observability in Mount Prospect, IL is $21.36, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $22.69 per hour, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as a remote observability engineer?

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 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.

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 cities near Mount Prospect, IL are hiring for Remote Observability jobs?

Cities near Mount Prospect, IL with the most Remote Observability job openings:

Remote Observability jobs near you
Infographic showing various Remote Observability job openings in Mount Prospect, IL as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $44,432 per year, or $21.4 per hour.

Mid Level MLOps Engineer/Remote EST/CST

Motion Recruitment

Chicago, IL • Remote

Full-time

Medical, Dental, Vision, PTO

Posted 2 days ago

New

Job description

Our client is a global performance marketing organization operating at the intersection of brand marketing, technology, and analytics, helping businesses design and manage data-driven marketing and brand strategies. They are hiring for a Mid-Level AI/ML Ops Engineer to build and maintain the infrastructure, deployment pipelines, monitoring, and cloud systems that gets AI and machine learning models into production reliably, securely, and at scale.
This is a hands-on opportunity to own the operational backbone of a growing AI practice, working side by side with AI Engineers and the AI Tech Lead rather than setting architecture in isolation. You will take deployment and infrastructure requirements and turn them into dependable, monitored production systems, all while deepening your expertise across MLOps, cloud AI platforms, and LLM deployment. It is a great fit for someone who is detail oriented and reliability focused, stays calm and methodical when production issues come up, and wants room to grow into a stronger voice on the operational side of AI/ML.
Required Skills & Experience
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or comparable experience
  • 3-5 years of experience in DevOps, MLOps, data engineering, or a related infrastructure/operations role
  • Hands-on experience deploying machine learning models into production environments
  • Working knowledge of Databricks and cloud AI platforms (AWS preferred, including familiarity with services like Bedrock)
  • Experience with containerization and orchestration tools (Docker, Kubernetes or equivalent)
  • Proficiency in Python and familiarity with CI/CD tooling
  • Experience with monitoring and observability tooling for production systems
  • Solid understanding of data analytics fundamentals
Desired Skills & Experience
  • Familiarity with LLM deployment considerations (latency, cost, versioning)
  • Experience with SQL
What You Will Be Doing
Tech Breakdown
  • Databricks and AWS cloud AI platforms, including Bedrock
  • Docker and Kubernetes (or equivalent orchestration)
  • Python and CI/CD tooling
  • Monitoring and observability platforms
Daily Responsibilities
  • Build and maintain CI/CD pipelines for deploying AI/ML models into production
  • Implement monitoring and observability to catch performance degradation, drift, and failures early
  • Manage cloud infrastructure supporting AI workloads, including containerized services and cloud AI platforms
  • Collaborate with AI Engineers and the AI Tech Lead to translate requirements into deployment plans
  • Troubleshoot production issues and support model versioning, reproducibility, and rollback processes
  • Monitor and optimize the cost and resource efficiency of AI/ML workloads, flagging operational risks before they become incidents

The Offer
  • Bonus eligible
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • Vacation Time
  • Stock Options

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Apply