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Datadog Jobs in Seattle, WA (NOW HIRING)

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

Cloud Support Engineer

Seattle, WA · Hybrid

$60 - $70/hr

Implement and maintain monitoring and observability solutions (Datadog preferred). * Perform cloud backup and recovery operations. * Support cloud security controls, audits, compliance activities ...

Leverage your deep understanding of monitoring software and hardware, such as Datadog or similar tools, to monitor and maintain the performance and reliability of our emergency response platform.

Terraform for IaC, GitHub Actions for CI/CD, Kubernetes for orchestration, and extensive monitoring with Datadog. You'll build the platform that enables our engineering teams to ship fast and ...

DevOps Engineer

Seattle, WA · On-site

$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 ...

DevOps Engineer

Seattle, WA · On-site

$60 - $82.25/hr

... Datadog). - Embed DevSecOps practices into pipelines and infrastructure. - Ensure high availability, disaster recovery, and cost optimization. - Mentor junior engineers and contribute to ...

AWS Cloud Architect

Seattle, WA · On-site

$73.75 - $96.75/hr

Familiarity with observability and performance monitoring tools (e.g., Prometheus, Grafana, Datadog). * Experience in application performance tuning and scalability improvements.

... Datadog) • Familiar with UX design tools like Figma Company : We are a fusion power company based in Everett, WA, with the mission to build the world's first fusion power plant, enabling a future ...

... Datadog) • Familiar with UX design tools like Figma Company : We are a fusion power company based in Everett, WA, with the mission to build the world's first fusion power plant, enabling a future ...

Senior Software Engineer, Platform

Seattle, WA · On-site

$139K - $183K/yr

... like Datadog or similar for monitoring performance, system health, and reliability • Familiarity with designing APIs, SDKs, or frameworks that other engineers build on top of • Strong ...

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Datadog information

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How much do datadog jobs pay per hour?

As of Aug 22, 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:

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.

Sr. Specialty Solutions Engineer - Observability

AHEAD

Seattle, WA

$230K - $300K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago


Job description

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.
 
At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. 
 
We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. 
 
We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. 

AHEAD's Sr. Observability Solutions Engineers are the technical experts that collaborate with our AHEAD account teams to help identify, qualify, and build solutions that support our customer's Digital Business transformation. 
 
The AHEAD Sr. Observability Solutions Engineer (SSE) will be focused on technologies such as Datadog, Dynatrace, Chronosphere, etc. The SSE is considered a subject matter expert in these areas with responsibility for selling and designing complex solutions. The SSE is also considered an organizational thought leader for their specialty area. 
 
*Must be in PST*
Responsibilities
  • Active participation in the AHEAD SSE and service delivery teams
  • Be a thought leader for AHEAD clients, responsible for designing, architecting technical solutions
  • Support the sales teams during engagements by providing advice and solutions or proposals optimized to meet customer technical and business requirements
  • Develop relationships with other Observability SSE team members, leaders, and partners in support of sales objectives
  • Strategize and execute technical sales calls
  • Complete required pre-sales documentation (configurations, pricing, services, presentations, justifications, etc.) quickly and accurately
  • Qualify sales opportunities in terms of customer technical requirements, decision-making process, and funding
  • Present and market the design and value of proposed AHEAD solutions and business justification to customers, prospects, and AHEAD management
  • Participate in the mentorship of entry-level team members 
  • Possess strong, detailed product/technology/industry knowledge
  • Knowledge of job-associated software and applications
  • Travel required up to 30%
Qualifications
  • Expertise in observability technologies such as Datadog, Dynatrace, Chronosphere, New Relic, Splunk, etc
  • Expertise in with Splunk Enterprise, Splunk Cloud, and Splunk Enterprise Security
  • Expertise as a consultant for clients, advising on technical solutions and participating in pre-sales and solution development
  • Enterprise experience with Cloud Infrastructure, networking and system administration 
  • Experience in architecture leadership that brings together and integrates solutions across multiple vendors 
  • Ability to evaluate new technologies and provide internal training 
  • Ability to understand customer needs, define requirements, and design solutions 
  • Ability to develop and present architectural recommendations and implementation/ assessment services 
  • Excellent written and verbal communication skills 
  • Excellent presentation skills 
  • Extensive experience with Visio and PowerPoint 
  • Strong technical aptitude 
  • Provide technical leadership assuring quality, maximizing team output 
  • Self-motivated 
  • Cribl and Big Panda experience a plus 
  • Experience with automation and advanced configuration management tools are a plus 
$230,000 - $300,000 a year
The compensation range indicated in this posting reflects the On-Target Earnings ("OTE") for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate's relevant experience, qualifications, and geographic location.  
 
Why AHEAD:
 
Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between.
 
We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.
 
USA Employment Benefits include: 
- Medical, Dental, and Vision Insurance 
- 401(k) 
- Paid company holidays 
- Paid time off 
- Paid parental and caregiver leave 
- Plus more! See benefits https://www.aheadbenefits.com/ for additional details. 
 
Use of AI:
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, assessing responses, or to capture recordings and create transcriptions or summaries during interviews. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.
 
If you would like more information about how your data is processed, please refer to the Candidate Privacy Notice or contact us at [email protected]. 
 
You may opt-out of the review or analysis of your application and resume by AI tools by using the General Application. Please include the role you wish to apply for in the Additional Information field. You may also choose to opt-out of recording and transcription at any time, including after joining an interview.  Candidates will not be penalized for choosing to opt-out.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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