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Datadog Jobs in Michigan (NOW HIRING)

DevOps Engineer - Senior

Dearborn, MI · On-site

$48.50 - $66.50/hr

Experience with observability tools such as Prometheus, Grafana, Datadog, CloudWatch, or Lens. * Experience with log management tools such as Elastic Stack, Grafana Loki, or FluentD. * Experience ...

DevOps Engineer

Dearborn, MI · On-site

$48.50 - $66.50/hr

Prometheus, Grafana, Datadog, CloudWatch, Lens. * Experience with one or more of the following log management tools: Elastic Stack, Grafana Loki, Fluentd * Experience with one or more of the ...

DevOps Engineer - Senior

Dearborn, MI · On-site

$48.50 - $66.50/hr

Experience with observability tools such as Prometheus, Grafana, Datadog, CloudWatch, or Lens. * Experience with log management tools such as Elastic Stack, Grafana Loki, or FluentD. * Experience ...

DevOps Engineer

Dearborn, MI · On-site

$48.50 - $66.50/hr

Prometheus, Grafana, Datadog, CloudWatch, Lens. * Experience with one or more of the following log management tools: Elastic Stack, Grafana Loki, Fluentd * Experience with one or more of the ...

DevOps Engineer

Dearborn, MI · On-site

$48.50 - $66.50/hr

Prometheus, Grafana, Datadog, CloudWatch, Lens. * Experience with one or more of the following log management tools: Elastic Stack, Grafana Loki, Fluentd * Experience with one or more of the ...

SRE Engineer

Dearborn, MI

$52.75 - $70/hr

Hands-on experience with Dynatrace (or similar APM tools like Datadog/New Relic), including distributed tracing, synthetic monitoring, and code-level profiling. * Coding & Scripting: Proficiency in ...

DevOps Engineer

Dearborn, MI · On-site

$61 - $66/hr

Prometheus, Grafana, Datadog, CloudWatch, Lens. * Experience with one or more of the following log management tools: Elastic Stack, Grafana Loki, Fluentd * Experience with one or more of the ...

Showing results 21-40

Datadog information

See Michigan salary details

$11

$18

$25

How much do datadog jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for datadog in Michigan is $18.40, according to ZipRecruiter salary data. Most workers in this role earn between $15.10 and $18.46 per hour, depending on experience, location, and employer.

What is the difference between Datadog vs Cloud Monitoring Engineer?

AspectDatadogCloud Monitoring Engineer
Primary RoleMonitoring and analytics platform for IT infrastructure and applicationsDesigning, implementing, and managing cloud monitoring solutions
Required SkillsCloud platforms, monitoring tools, scripting, API integrationCloud services, monitoring tools, scripting, troubleshooting
CertificationsCloud certifications (AWS, Azure), monitoring tools certificationsCloud certifications (AWS, Azure), monitoring certifications
Work EnvironmentUsing SaaS platform, integrating with various cloud and on-premise systemsManaging cloud infrastructure, configuring monitoring tools, troubleshooting

While both roles involve cloud monitoring, Datadog focuses on utilizing a specific SaaS platform for analytics and monitoring, whereas a Cloud Monitoring Engineer designs and manages monitoring solutions across cloud environments. The roles often overlap in skills and certifications, but their core responsibilities differ in scope and focus.

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

To thrive as a Datadog Engineer, you need a solid understanding of cloud infrastructure, monitoring and observability principles, and experience with scripting or programming languages. Familiarity with Datadog’s platform, API integrations, and certifications such as Datadog Certified Technical Specialist are highly valuable. Strong problem-solving skills, attention to detail, and effective communication help you proactively address system issues and collaborate with cross-functional teams. These skills ensure efficient system monitoring, rapid incident response, and reliable service performance in dynamic technology environments.

What are some common challenges faced by Datadog engineers when implementing monitoring solutions for large-scale systems?

Datadog engineers often encounter challenges such as integrating diverse technology stacks, ensuring minimal performance impact, and maintaining data accuracy across high-traffic environments. Large-scale systems can generate vast amounts of telemetry data, so configuring efficient dashboards and alerting without causing alert fatigue is vital. Collaborating closely with development, operations, and security teams is essential to tailor monitoring solutions that provide actionable insights while staying adaptable to evolving system architectures.

What is a Datadog engineer?

A Datadog engineer is a professional who specializes in implementing, configuring, and managing Datadog, a cloud-based monitoring and analytics platform. They are responsible for integrating Datadog with various systems, setting up dashboards, alerts, and metrics to monitor application performance and infrastructure health. Their work helps organizations identify issues, optimize performance, and ensure system reliability. Datadog engineers often collaborate with DevOps, IT, and development teams to provide insights and improve observability across environments.
What are popular job titles related to Datadog jobs in Michigan? For Datadog jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Datadog jobs? Cities in Michigan with the most Datadog job openings:
Infographic showing various Datadog job openings in Michigan as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, 25% Hybrid, and 25% Remote job distribution, with an average salary of $38,266 per year, or $18.4 per hour.

DevOps Engineer - Senior

HTC Global Services

Dearborn, MI • On-site

$48.50 - $66.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Job Title: DevOps Engineer
Overview
We are seeking an experienced DevOps Engineer to build, maintain, and optimize infrastructure, automation, and deployment processes across the software development lifecycle. The ideal candidate will have strong experience with Linux, Windows, cloud infrastructure, CI/CD, and scripting while supporting software build, deployment, and release activities.
Key Responsibilities
  • Build, test, and maintain infrastructure and tools that support software development and deployment.
  • Apply DevOps methodologies and best practices throughout the software development lifecycle.
  • Accelerate software releases while maintaining security and reducing deployment risks.
  • Improve software delivery through continuous integration, continuous deployment, and continuous feedback.
  • Evaluate existing systems and processes and implement improvements.
  • Utilize enterprise platforms and infrastructure to support DevOps practices.
  • Support software deployments across development, testing, sandbox, and production environments.
  • Identify and implement automation opportunities throughout the software lifecycle.
  • Set up, maintain, and optimize CI/CD pipelines using Jenkins and GitHub Actions.
  • Deploy updates and fixes to support continuous integration.
  • Develop integrations with internal backend systems.
  • Perform root cause analysis for development and production build and pipeline issues.
  • Develop automation to improve operational efficiency.
  • Create procedures for system troubleshooting and maintenance.

Required Qualifications
  • 5+ years of experience in DevOps or a similar software engineering role.
  • 7+ years of Linux experience.
  • 7+ years of Microsoft Windows experience.
  • 7+ years of GitHub experience.
  • 7+ years of Jenkins experience.
  • 5+ years of Cloud Infrastructure experience.
  • 5+ years of Python experience.
  • 3+ years of Google Cloud Platform (GCP) experience.
  • Strong system engineering and administration experience in Linux and Windows.
  • Experience with scripting languages such as Bash, PowerShell, or Python.
  • Experience with version control tools such as Git, GitHub, or GitLab.
  • Experience with CI/CD tools such as Jenkins, GitLab CI/CD, GitHub Actions, or CircleCI.
  • Experience with observability tools such as Prometheus, Grafana, Datadog, CloudWatch, or Lens.
  • Experience with log management tools such as Elastic Stack, Grafana Loki, or FluentD.
  • Experience with configuration management tools such as Ansible, Chef, or Puppet.
  • Experience with cloud platforms including GCP, AWS, or Azure.
  • Strong attention to detail.
  • Ability to work independently and solve problems proactively.

Preferred Qualifications
  • Experience with Azure.
  • Experience with embedded systems build and development processes.
  • Team leadership experience.

What Makes HTC A Great Place To Build Your Future
HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.
At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.
Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
#LI-Hybrid #LI-RM1