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Datadog Jobs in Leander, TX (NOW HIRING)

Software DevOps Engineer

Austin, TX · On-site

$52.25 - $71.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Software DevOps Engineer

Austin, TX · Hybrid

$52.25 - $71.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

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

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 ...

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 ...

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 ...

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 ...

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Datadog information

See Leander, TX salary details

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How much do datadog jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for datadog in Leander, TX is $20.17, according to ZipRecruiter salary data. Most workers in this role earn between $16.54 and $20.19 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 Leander, TX?

For Datadog jobs in Leander, TX, the most frequently searched job titles are:

What job categories do people searching Datadog jobs in Leander, TX look for?

The top searched job categories for Datadog jobs in Leander, TX are:

What cities near Leander, TX are hiring for Datadog jobs?

Cities near Leander, TX with the most Datadog job openings:

Infographic showing various Datadog job openings in Leander, TX as of August 2026, with employment types broken down into 87% Full Time, 5% Part Time, and 8% Contract. Highlights an 70% Physical, 9% Hybrid, and 21% Remote job distribution, with an average salary of $41,950 per year, or $20.2 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.