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Datadog Jobs in Seattle, WA (NOW HIRING)

WorkNovas LLC

Mobility Production Support

Issaquah, WA · On-site

$48.50 - $63.25/hr

Maintain live dashboards in monitoring suites (e.g., Firebase Crashlytics, Datadog, New Relic, Splunk, Dynatrace). * Ensure support documentation, runbooks, escalation matrices, and operational ...

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Datadog information

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$15

$24

$33

How much do datadog jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for datadog in Seattle, WA is $24.02, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $24.09 per hour, depending on experience, location, and employer.

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 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 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 popular job titles related to Datadog jobs in Seattle, WA?

For Datadog jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Datadog jobs in Seattle, WA look for?

The top searched job categories for Datadog jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Datadog jobs?

Cities near Seattle, WA with the most Datadog job openings:

Datadog jobs near you
Infographic showing various Datadog job openings in Seattle, WA as of August 2026, with employment types broken down into 91% Full Time, 3% Part Time, and 6% Contract. Highlights an 73% Physical, 9% Hybrid, and 18% Remote job distribution, with an average salary of $49,964 per year, or $24 per hour.

AWS DevOps Engineer: Kubernetes & Terraform Specialist

US staffing Inc

Renton, WA • On-site

$59.50 - $81.50/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Title-AWS DevOps Engineer

Location: Onsite to Renton, WA 98056

Long Term Contract

Mandatory Skills
  • AWS
  • DevOps (Kubernetes, Grafana, Datadog, Terraform, GitLab & Others)
  • Windows/Linux
Job Qualifications
  • At least 5 to 7 years’ experience working with cloud services like AWS & Azure.
  • Solid experience in designing and implementing complex DevOps solutions.
  • Experience with CI/CD pipelines.
  • Experience with administering Linux and application support.
  • Experience within cloud hosted environments such as Amazon AWS cloud, Azure.
  • Experience with Grafana, Cloudwatch, Datadog, Dynatrace, Nagios, VMWare, CDN.
  • A good AWS DevOps development background.
Job Responsibilities
  • Implement scalable, resilient, and secure solutions in the public cloud, especially in AWS.
  • Implement and support Linux and on-prem server environment.
  • Maintain and support Kubernetes environment on AWS.
  • Participate in automation initiatives to streamline processes, improve efficiencies and reduce hosting cost.
  • Work closely with Engineering and development teams for continuous improvement.
  • Enhance and drive automation and 'Infrastructure as Code' delivery using Terraform, Git.
  • Participate in technical discussion with existing & potential clients and internal teams.
  • Participate in research and development to deliver complex cloud-native solutions or on-premises.
  • Ability to analyse and troubleshoot complex software and infrastructure issues, and develop tools/systems for task automation.
  • BAU Support as needed for critical and escalated issues.
  • Responsible for managing and upgrading DevOps toolsets.
  • Maintaining 100% automation coverage of core Insight build and deploy using cloud-native services and containers.
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