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Datadog Jobs in Seattle, WA (NOW HIRING)

Datadog, Cribl, S3 • Languages: Go, Python, TypeScript, Ruby, Terraform (HCL), Terrakube (self-hosted) • AI Tooling: Claude Code, Claude Cowork, OpenAI, Codex, Bedrock, Runlayer MCP, custom agent ...

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 ...

New

Infrastructure Security Engineer

Seattle, WA · On-site

$162K/yr

GuardDuty, Security Hub, CloudTrail, VPC flow logs -- tuned for signal, integrated with Datadog and our incident response playbooks. • Set the bar for what "secure by default" looks like for AI ...

Expertise in the Datadog ecosystem (Metrics, Logs, Traces, and Error Tracking), including establishing alerting standards, implementing tagging taxonomies, and managing Datadog configurations via ...

DevOps Engineer

Seattle, WA

$60 - $82.25/hr

I mplement monitoring, logging, and observability solutions (Prometheus, Grafana, ELK, Datadog). * E mbed DevSecOps practices into pipelines and infrastructure. * E nsure high availability, disaster ...

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Datadog information

See Seattle, WA salary details

$15

$24

$33

How much do datadog jobs pay per hour?

As of Aug 7, 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 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 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:
Infographic showing various Datadog job openings in Seattle, WA as of August 2026, with employment types broken down into 88% Full Time, 4% Part Time, and 8% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution, with an average salary of $49,964 per year, or $24 per hour.

W2 Only :: Site Reliability Engineer (SRE) :: Seattle, WA (Onsite - 3 days per week) :: Contract

Nityo Infotech

Seattle, WA • On-site

$64.75 - $86.25/hr

Contractor

Re-posted 29 days ago


Job description

Hi

Hope you are doing good.

I am Akash Rai from Nityo Infotech

I am trying to reach you regarding an urgent long term contract opportunity, I have for you.

My client, Cap Gemini  is looking for a match for the below mentioned role. Kindly have a look and let me know if this interests you.

Job Title             :     Site Reliability Engineer (SRE) / DevOps Engineer
Location
             :     Seattle, WA (Onsite – 3 days per week)
Type
                    :     Contract to Hire

Primary Skills: Datadog, Splunk, AWS, PowerShell, Terraform
Secondary Skills: Docker, Kubernetes, Python

Job Description:

We are seeking an experienced Senior Site Reliability Engineer with strong expertise in cloud platforms, observability, and infrastructure automation. The ideal candidate will bring leadership, initiative, and advanced technical skills to enhance our production reliability and operations.

Responsibilities:

  • Design, implement, and maintain monitoring and observability solutions (Datadog, Splunk).
  • Manage and optimize AWS / Azure cloud environments.
  • Support Kubernetes, kOps, and Helm 3 infrastructure (no direct deployment—support registry and debugging).
  • Implement Infrastructure as Code using Terraform (mandatory).
  • Develop automation scripts and tooling using Python, C#, or Java (with strong API experience).
  • Participate in on-call rotation for operations support.
  • Collaborate with engineering teams to ensure platform stability and scalability.

Preferred/Bonus Skills:

  • Prometheus Operator, Grafana, Loki, ELK Stack, OpenTelemetry, Jaeger/OpenTracing.
  • CI/CD experience with Jenkins, Octopus, GitHub Actions.
  • Kubernetes deployments via GitOps (Argo CD preferred).

Qualifications:

  • 8–10+ years in Site Reliability or DevOps Engineering.

Thanks, and Regards!!
“Please feel free to contact, if you have any query.”

Nityo Infotech Corp.
666 Plainsboro Road, 

Suite 1285

Plainsboro, NJ 08536

Akash Rai
Desk Number : 609-857-8213

Email- Akash.rai@nityo.com
linkedin.com/in/akash-rai-bb5824120

www.nityo.com


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