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Observability Datadog Jobs (NOW HIRING)

Datadog

Senior Product Manager - Serverless

Boston, MA · On-site

$192K - $240K/yr

  • Medical

  • Dental

  • Retirement

  • PTO

You'll own the strategy and execution for Datadog's AWS Serverless observability offering, building experiences that provide visibility into distributed systems and simplify debugging and operations.

Palnar

Datadog Engineer@ 100% Remote Role

We are seeking a skilled Datadog Engineer to join our growing observability team. You will be responsible for configuring, managing, and optimizing Datadog for application performance monitoring (APM ...

Datadog

Distinguished Architect, AI

New York, NY · On-site

$330K - $440K/yr

  • Medical

  • Dental

  • Retirement

  • PTO

Co-create custom observability integrations and solutions alongside Product SAs to keep Datadog at the absolute forefront of the AI stack. * Collaboration : Collaborate with Product Solutions ...

Datadog

Senior Product Manager - Serverless

Boston, NY · Hybrid

$119K - $158K/yr

You'll own the strategy and execution for Datadog's AWS Serverless observability offering, building experiences that provide visibility into distributed systems and simplify debugging and operations.

NoBS

Observability Engineer

Boston, MA · On-site +1

$57.25 - $78.50/hr

NoBS Tech is a rapidly growing Datadog Premier Partner specializing in advanced observability, monitoring, and cloud solutions for clients who value innovative, resilient, and data-driven operations.

Palnar

Sr. DataDog Engineer@ 100% Remote Role

Qualifications, 5+ years in observability/DevOps; 3+ years with Datadog in Windows environments (IIS, SQL Server, app servers). Expertise in Datadog Agent setup, Windows Service monitoring, and ...

Datadog

Product Manager II - Model Lab

New York, NY · On-site

$156K - $195K/yr

  • Medical

  • Dental

  • Retirement

  • PTO

This is a 0→1 opportunity to build a new product that will be deeply integrated into Datadog's observability platform. You will shape the product vision, validate the market, and drive execution ...

Datadog

Mid-Market Sales Engineer (AMER - East)

Boston, MA · On-site

$118K - $157K/yr

  • Medical

  • Dental

  • Retirement

  • PTO

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings ...

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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.

Lead Systems Engineer - Datadog Backend Admin

3B Staffing LLC

Austin, TX • On-site

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Lead Systems Engineer with deep expertise in Datadog, as a backend Engineering professional, within an AWS Environment.
In this role, you will oversee the design, implementation, and maintenance of comprehensive monitoring, observability, and incident management solutions for cloud-based infrastructure and applications. You will play a key role in guiding the team to ensure operational excellence, system reliability, and seamless collaboration across IT and engineering teams.
Responsibilities
- Lead the architecture, design, and implementation of end-to-end monitoring solutions using Datadog, ensuring high availability and performance of cloud-based services. Backend Administration/Engineering support of the DataDog tool is a primary responsibility
- Oversee the deployment and management of AWS resources (EC2, RDS, Lambda, ECS/EKS, S3, etc.), ensuring adherence to best practices for scalability, security, and cost optimization.
- Define monitoring strategies and best practices, including Datadog dashboards, monitors, alerts, and custom metrics for comprehensive observability.
- Architect and manage the integration of Datadog with ServiceNow to automate incident management workflows, event correlation, and CMDB synchronization.
- Provide technical leadership and mentorship to junior engineers on best practices for monitoring, logging, and observability.
- Collaborate with cross-functional teams to integrate monitoring and logging into CI/CD pipelines and cloud infrastructure.
- Drive continuous improvement in system reliability, including SLO/SLI definitions, synthetic monitoring, and anomaly detection.
- Contribute to and enforce Infrastructure as Code (IaC) standards using Terraform, CloudFormation, or similar tools.
- Participate in high-severity incident management, root cause analysis, and the implementation of corrective actions to prevent future occurrences.
Want to learn more? Then you should contact Elite Technical right away for consideration!
Required Skills
Requirements
-- Bachelors degree in Computer Science, Information Technology, or a related field (or equivalent experience).
-- 5+ years of experience with AWS cloud services, including deployment, management, and optimization of cloud infrastructure.
-- 3+ years of hands-on experience supporting the monitoring tool, Datadog. Seeking candidates with backend administration/engineering support of DataDog (not frontend Monitoring users). Must know all functionalities of the DataDog tool, and complex dashboards, integrations, and custom metrics.
-- Demonstrated experience leading teams or projects in a cloud operations or DevOps environment.
-- Strong proficiency in scripting and automation (Python, Bash, or similar).
-- Solid understanding of networking, security best practices, distributed systems, and troubleshooting complex cloud architectures.
Preferred Skills (Nice to Have)
-- Experience with Infrastructure as Code (Terraform, CloudFormation).
-- AWS certifications (e.g., AWS Certified Solutions Architect, DevOps Engineer).
-- Experience with Kubernetes monitoring and log aggregation solutions (Fluentd, ELK stack).
-- Familiarity with other observability tools like Prometheus or Grafana.
-- ServiceNow certifications or experience with ServiceNow ITOM modules (Discovery, Event Management, CMDB).
-- Eperience integrating Datadog with ServiceNow, including incident management workflows, event management, and CMDB integration.

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