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Datadog Jobs in Georgetown, TX (NOW HIRING)

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 ...

Soni Resources

DevOps Engineer

Austin, TX · On-site

$99K/yr

Monitor performance using tools such as CloudWatch and Datadog * Troubleshoot issues and identify opportunities for proactive improvement * Partner with engineering teams to resolve environment and ...

Procore

Manager, Engineering Observability

Austin, TX · On-site

Evaluate and evolve the observability toolset -- making principled decisions on how Datadog, Honeycomb, SumoLogic, OpenTelemetry, and Bugsnag work together as a unified platform * Build self-service ...

Procore

Manager, Engineering Observability

Austin, TX · On-site

Evaluate and evolve the observability toolset - making principled decisions on how Datadog, Honeycomb, SumoLogic, OpenTelemetry, and Bugsnag work together as a unified platform * Build self-service ...

Procore

Manager, Engineering Observability

Austin, TX · On-site

Evaluate and evolve the observability toolset - making principled decisions on how Datadog, Honeycomb, SumoLogic, OpenTelemetry, and Bugsnag work together as a unified platform * Build self-service ...

Hirekeyz Inc

Site Reliability Engineer (SRE)

Austin, TX · On-site

$56.50 - $75/hr

Strong experience in using industry standard monitoring tools e.g., AppDynamics, Dynatrace, Splunk, Grafana, Nagios, Datadog, New Relic, Tempo, Loki, etc. * Experience working with containers e.g ...

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Datadog information

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How much do datadog jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for datadog in Georgetown, TX is $19.61, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $19.66 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 Georgetown, TX? For Datadog jobs in Georgetown, TX, the most frequently searched job titles are:
What job categories do people searching Datadog jobs in Georgetown, TX look for? The top searched job categories for Datadog jobs in Georgetown, TX are:
What cities near Georgetown, TX are hiring for Datadog jobs? Cities near Georgetown, TX with the most Datadog job openings:
Datadog jobs near you
Infographic showing various Datadog job openings in Georgetown, TX as of August 2026, with employment types broken down into 88% Full Time, 5% Part Time, and 7% Contract. Highlights an 74% Physical, 6% Hybrid, and 20% Remote job distribution, with an average salary of $40,792 per year, or $19.6 per hour.

Senior DevOps Platform Consultant (Azure)

Delan Associates, Inc.

Austin, TX • On-site, Remote

Contractor

Posted 9 days ago

Job description

Our Client is seeking a hands-on DevOps Implementation Consultant to help establish a practical DevOps foundation for 3-5 internal .NET applications using Azure DevOps, SonarQube, Azure Key Vault, and Datadog.
This is an implementation-focused contract role. The person in this role will work directly with Client architects and developers to build CI/CD pipelines, define Git and pull request standards, integrate SonarQube, set up Datadog observability, and document the approach so Client can support and expand it after the engagement.
Key Responsibilities
Design and implement Azure DevOps CI/CD pipelines for .NET applications.
Define and apply Git branching, pull request, and branch policy standards in Azure DevOps.
Integrate SonarQube into build and pull request workflows, including baseline quality gates.
Configure secure secrets and environment settings using Azure Key Vault and appropriate access controls.
Set up Datadog dashboards, monitors, APM, and alerting for in-scope applications.
Create reusable templates, documentation, and runbooks for future application onboarding.
Work closely with team members to transfer knowledge through pairing and walkthroughs.
Required Experience
Strong hands-on experience with Azure DevOps, including Repos, Pipelines, branch policies, and multi-environment deployments.
Experience building CI/CD pipelines for .NET applications.
Experience integrating SonarQube with Azure DevOps.
Experience using Datadog for APM, dashboards, monitoring, and alerting.
Strong scripting and automation skills using PowerShell, Bash, or similar tools.
Ability to work directly with development teams and clearly document standards and solutions.
Preferred Experience
Experience working in Azure-centric .NET environments.
Experience creating reusable pipeline templates and onboarding patterns across multiple repositories.
Experience helping teams adopt DevOps practices where automated testing and CI/CD are still maturing.
Experience in utility, energy, or other enterprise environments with governance requirements.

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