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Datadog Jobs in Texas (NOW HIRING)

Noblesoft Technologies

Datadog SME

Frisco, TX · On-site

Datadog SME Location: Frisco, TX JD: * Candidate should be a SME for Datadog application. * Candidate should be hands on large scale Datadog implementation. * Candidate should be to review current ...

Datadog

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can ...

Ascentt

DevOps Engineer

Plano, TX · On-site

$50.50 - $69.25/hr

Develop and maintain CI/CD pipelines using GitHub Actions for automated code deployments and testing. • System Monitoring and Incident Management: • Implement and configure Datadog for ...

Sidram Technologies

SRE Lead

Plano, TX · On-site

$54.50 - $72.50/hr

The ideal candidate will have expertise in AWS, SRE, and Datadog, and a background in the automotive industry is a plus. This hybrid role requires a proactive individual who can design and implement ...

Thales

Software DevOps Engineer

Austin, TX · On-site

$52.25 - $71.50/hr

A strong knowledge and experience on Datadog or ELK is also required to handle the logging management and support for the customer, provide improvement and upgrades for future deployment and current ...

Thales

Software DevOps Engineer

Austin, TX · Hybrid

$52.25 - $71.50/hr

A strong knowledge and experience on Datadog or ELK is also required to handle the logging management and support for the customer, provide improvement and upgrades for future deployment and current ...

Magicforce

PCF Engineer

Austin, TX · On-site

... Datadog, or similar. • Familiarity with VMware vCenter and virtualization infrastructure. • Proven experience with Concourse CI/CD pipelines for automation. • Proficiency in scripting languages ...

IVID TEK INC

Senior Java Developer

Houston, TX · On-site

$49.50 - $63.25/hr

Monitor with Datadog and Elasticsearch ; handle bug fixing , log analysis, and root-cause resolution. * Participate in daily scrum calls , refine requirements, track progress, and deliver on time ...

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Datadog information

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 Texas? For Datadog jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Datadog jobs in Texas look for? The top searched job categories for Datadog jobs in Texas are:
What cities in Texas are hiring for Datadog jobs? Cities in Texas with the most Datadog job openings:
Datadog jobs near you
Infographic showing various Datadog job openings in Texas 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.

Datadog SME

Noblesoft Technologies

Frisco, TX • On-site

Contractor

Re-posted 23 days ago

Job description

Role: Datadog SME

Location: Frisco, TX

JD:

  • Candidate should be a SME for Datadog application.
  • Candidate should be hands on large scale Datadog implementation.
  • Candidate should be to review current architecture and drive to implement.
  • Candidate should be able to recommend and implement best practices.
  • Candidate should be able to finetune and optimize Datadog monitoring
  • Datadog SME to Improve alerting, including SLO alert, and integration to SNOW
  • Datadog SME to Setup Correlation between network and application issues, Correlation between modules and provide more visibility.
  • Datadog SME to set up and improve dashboards including executive Dashboard