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Observability Datadog Jobs (NOW HIRING)

Partner Solutions Architect (GSI) - AMER East

Boston, MA ยท On-site

$149K - $199K/yr

  • Medical

  • Dental

  • Retirement

  • PTO

Observability: Datadog, Splunk, AppD, New Relic or Dynatrace * Public Cloud: AWS, Azure, GCP, or Alibaba * Containerization: Docker, Kubernetes, OpenShift, Cloud Foundry * Dev/Scripting: Python ...

Partner Solutions Architect (GSI) - AMER West

Denver, CO ยท On-site

$149K - $199K/yr

  • Medical

  • Dental

  • Retirement

  • PTO

Observability: Datadog, Splunk, AppD, New Relic or Dynatrace * Public Cloud: AWS, Azure, GCP, or Alibaba * Containerization: Docker, Kubernetes, OpenShift, Cloud Foundry * Dev/Scripting: Python ...

Senior Datadog Security & Observability Engineer

$117K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Own and continuously improve Datadog Cloud SIEM, security monitoring and observability capabilities across production and corporate environments * Design, build and maintain detection and telemetry ...

Staff Software Engineer - ML Observability

Boston, MA ยท On-site

$234K - $300K/yr

  • Medical

  • Dental

  • Retirement

  • PTO

The ML Observability team builds cutting-edge tools to monitor, explain, and improve AI systems in ... At Datadog, we place value in our office culture - the relationships and collaboration it builds ...

San Ramon, CA FACE TO FACE INTERVIEW Datadog - Key Responsibilities Design, implement, and manage observability solutions using Datadog (Logs, Metrics, APM, RUM, Synthetics, etc.) Develop real-time ...

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Observability Datadog information

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How much do observability datadog jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for observability datadog in the United States is $17.34, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $18.03 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an observability Datadog specialist?

To excel as an Observability Engineer with a focus on Datadog, you need a strong background in IT operations, cloud infrastructure, and monitoring concepts, often supported by relevant degrees or certifications. Familiarity with Datadog's platform, scripting languages (like Python or Bash), and integrations with cloud services (AWS, Azure, GCP) is typically required. Analytical thinking, proactive problem-solving, and the ability to collaborate across teams are vital soft skills in this role. These skills ensure effective system monitoring, rapid incident response, and ongoing performance optimization in complex environments.

What is an observability Datadog specialist?

Observability Datadog roles typically refer to professionals who implement, manage, and optimize observability practices using the Datadog platform. These specialists focus on monitoring application performance, infrastructure health, and ensuring real-time visibility into system operations. They configure dashboards, set alerts, and analyze logs, traces, and metrics to detect and resolve issues quickly. Their work helps organizations maintain system reliability, optimize performance, and improve incident response.

How does an observability Datadog specialist typically collaborate with development and operations teams?

An Observability Datadog specialist works closely with both development and operations teams to ensure that applications and infrastructure are properly monitored. They often participate in sprint planning and incident response meetings, helping teams define meaningful metrics, set up dashboards, and configure alerting policies. Collaboration also includes training team members on best practices for using Datadog and troubleshooting monitoring issues together. This cross-functional role ensures that all stakeholders have visibility into system health and can respond quickly to performance or reliability concerns.

What is the difference between Observability Datadog vs Cloud Engineer?

AspectObservability DatadogCloud Engineer
Primary FocusMonitoring, analytics, and visualization of system performanceDesigning, implementing, and managing cloud infrastructure
Required SkillsMonitoring tools, scripting, data analysisCloud platforms, scripting, infrastructure as code
CertificationsDatadog certifications, cloud provider certificationsAWS, Azure, or GCP certifications
Work EnvironmentIT operations, DevOps teamsCloud infrastructure teams, DevOps

While both roles involve cloud technologies, Observability Datadog specialists focus on monitoring and analyzing system performance, whereas Cloud Engineers design and maintain cloud infrastructure. Understanding these differences helps organizations assign the right skills to each role.

Infographic showing various Observability Datadog job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 74% Physical, 8% Hybrid, and 18% Remote job distribution, with an average salary of $36,065 per year, or $17.3 per hour.

Datadog Observability & Monitoring Engineer

Kforce Technology Staffing

Manhattan, NY โ€ข On-site

$62.75 - $83.50/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

RESPONSIBILITIES:
Kforce has a client that is seeking a Datadog Observability & Monitoring Engineer in New York, NY.
Summary:
We are looking for a Datadog Observability & Monitoring Engineer to take ownership of their Observability platform and drive adoption across the development and infrastructure teams within the organization. This is a contract to hire opportunity; Must be able to work on-site 2 days a week in the New York, NY or Piscataway, NJ office.
Responsibilities:
* The primary initiative is consolidating several monitoring platforms into Datadog as the client's chosen enterprise observability platform
* This is not a traditional SRE position focused solely on monitoring and dashboards; The goal is to find someone who can own the platform, drive adoption, and build a center of excellence around observability
* Ideal candidate will lead and evolve our observability strategy across cloud and on-premises environments; You will serve as the primary owner and subject matter expert for their Datadog platform - building, scaling, and operating a comprehensive monitoring solution that continuously validates service health (24/7) across business-critical systems, including external websites and key infrastructure components (e.g., firewalls, OpenShift)
* Design and implement end-to-end observability solutions spanning logs, metrics, traces, Service Level Objectives (SLOs), synthetic monitoring, and Real User Monitoring (RUM) to improve reliability, accelerate incident response, and deliver clear visibility into service performance
* Partner closely with application, SRE/DevOps, infrastructure, and security teams and serve as the internal champion and evangelist for Datadog adoption, standards, and best practices; The environment includes an active migration from OpenView to Datadog, with workflows integrating into ServiceNow for incident routing and escalation
REQUIREMENTS:
* 5+ years in Observability, APM, SRE, or Platform Engineering - with at least 2-3 years of hands-on, production-grade Datadog experience.
* Deep expertise across Datadog's core product suite: APM, Infrastructure Monitoring, Log Management, Synthetics, RUM, SLOs, Dashboards, Monitors, and Alerting.
* Proficiency in both Windows Server and Unix (Linux/Solaris) environments, including agent deployment, service instrumentation, and OS-level performance analysis.
* Strong scripting and automation skills (Python, PowerShell, Bash) with hands-on experience using the Datadog API/SDK and Terraform to manage observability configurations as code.
* Solid understanding of distributed tracing, metrics pipelines, logging standards, and SLO/error budget frameworks within Datadog.
* Experience integrating Datadog with cloud platforms (Azure and AWS) and centralizing cross-environment telemetry.
* Demonstrated ability to reduce alert noise and MTTR through Datadog monitor tuning, correlation, and enrichment strategies.
* BS/BA in Computer Science, Information Systems, Engineering, or equivalent experience.
Nice to Have
* Datadog certifications (e.g., Datadog Fundamentals, APM, or Log Management).
* Experience migrating from legacy monitoring platforms (e.g., OpenView, AppDynamics, Nagios) to Datadog.
* Familiarity with .NET development (C#), including Datadog instrumentation patterns for .NET applications.
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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