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Remote Observability Engineer Jobs in Canton, MI

Ford Motor Company

Software Test Engineer

Dearborn, MI · On-site +1

$102K - $204K/yr

... observability and monitoring, providing on call support for production applications. 5. Remote ... Software Test Engineer - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this ...

CACI

DevSecOps Engineer

Ypsilanti, MI · On-site +1

$69K - $141K/yr

... remote teams Experience working with at least one of the major cloud platforms (AWS/GCP/Azure ... observability tools like Prometheus, Grafana or similar Experience working with cloud-based ...

CACI

Senior DevSecOps Engineer

Ypsilanti, MI · On-site +1

$82K - $172K/yr

... remote teams Experience working with at least one of the major cloud platforms (AWS/GCP/Azure ... observability tools like Prometheus, Grafana or similar Experience working with cloud-based ...

Integra Partners

EDI Engineer

Troy, MI · Remote

$110K - $110K/yr

Experience with microservices architecture (APIs, Events, Observability). * Experience with ... Career development opportunities Remote Opportunities We are actively seeking new colleagues in:

Integra Partners

EDI Engineer

Troy, MI · On-site +1

$110K - $110K/yr

... Events, Observability). • Experience with containerization technologies like Docker and ... Career development opportunities Remote Opportunities We are actively seeking new colleagues in:

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All JobsObservability Engineer JobsRemote Observability Engineer JobsRemote Observability Engineer Jobs in Canton, MI

Remote Observability Engineer information

See Canton, MI salary details

$35.2K

$107.4K

$177.5K

How much do remote observability engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for remote observability engineer in Canton, MI is $107,378.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,900.00 and $140,400.00 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 popular job titles related to Remote Observability Engineer jobs in Canton, MI?

For Remote Observability Engineer jobs in Canton, MI, the most frequently searched job titles are:

What job categories do people searching Remote Observability Engineer jobs in Canton, MI look for?

The top searched job categories for Remote Observability Engineer jobs in Canton, MI are:

What cities near Canton, MI are hiring for Remote Observability Engineer jobs?

Cities near Canton, MI with the most Remote Observability Engineer job openings:

Remote Observability Engineer jobs near you
Infographic showing various Remote Observability Engineer job openings in Canton, MI as of June 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% Remote job distribution, with an average salary of $107,378 per year, or $51.6 per hour.

Senior, Software Engineer - Platform Engineering

Ann Arbor, MI • Remote

Torc Robotics
Trucking • 501 - 1,000 employees
Learn more about Torc Roboticsexternal

$119K - $158K/yr

Full-time

Posted 21 days ago

Job description

About the Role: 

We are seeking a Senior Software Engineer to join our Platform Engineering team. You will build and evolve the internal platforms and services that empower engineers across the company to automate and accelerate software development, testing, and validation for autonomous vehicles worldwide. 

Responsibilities: 

  • Design and construct platform infrastructure spanning build, test, deployment, and release workflows across software and hardware environments. 
  • Periodic oncall shifts during business hours focused on incident response and operational support for teamowned services. 
  • Provide support and troubleshooting to internal customers. 
  • Maintain and evolve an internal, multimodal test execution platform across target hardware and simulation, with integration into requirements tracking systems.
  • Develop and operate shared platform services, including workflow orchestration, observability, remote development environments, and authentication infrastructure. 
  • Drive engineering quality through reference implementations, best practices, and continuous improvement of platform reliability and scalability.
  • Mentor engineers and elevate technical standards across design, implementation, and operations.

Competencies: 

  • Strong software architecture and system design skills, with the ability to translate ambiguous requirements into scalable technical solutions. 
  • Strong proficiency with Python or another modern object-oriented programming language. 
  • Experience with infrastructure-as-code tools such as Terraform, CloudFormation, Pulumi, etc. 
  • Experience building intuitive, extensible, well-documented APIs. 
  • Strong understanding of CI/CD concepts, tooling, and engineering workflows. 
  • Experience managing technical infrastructure across cloud-based and bare-metal environments. 
  • Experience with observability, telemetry, and monitoring platforms such as Datadog. 
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes. 
  • Strong troubleshooting skills, including real-time debugging and deep log-based analysis. 
  • Experience with performance analysis, operational metrics, and system reliability practices.

Qualifications: 

  • Bachelor's or Master's Degree in Computer Engineering, Computer Science, or a related technical field. 
  • 6 or more years of relevant industry experience. 

Nice to Have: 

  • Experience with hardware-in-the-loop test automation for embedded, robotics, or vehicle platforms. 
  • Experience with workflow orchestration engines such as Temporal, AWS Step Functions, Airflow, or similar technologies. 
  • Experience building or supporting developer productivity platforms such as remote development environments or virtual desktop infrastructure. 

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