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Datadog Jobs in Texas (NOW HIRING)

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 ...

... Datadog • Strong communication skills with technical and non-technical teammates Qualifications : Required : • Bachelor's / Master's degree or equivalent in Computer Science or Engineering • ...

Site Reliability Engineer

Houston, TX

$55.25 - $73.50/hr

Observability & Insights - Set up and maintain full observability stacks (logging, metrics, tracing) using tools like Prometheus, Grafana, Datadog, OpenTelemetry, or ELK. - Analyze telemetry and logs ...

Site Reliability Engineer

Houston, TX · On-site

$55.25 - $73.50/hr

Observability & Insights - Set up and maintain full observability stacks (logging, metrics, tracing) using tools like Prometheus, Grafana, Datadog, OpenTelemetry, or ELK. - Analyze telemetry and logs ...

Site Reliability Engineer

Houston, TX

$55.25 - $73.50/hr

Observability & Insights - Set up and maintain full observability stacks (logging, metrics, tracing) using tools like Prometheus, Grafana, Datadog, OpenTelemetry, or ELK. - Analyze telemetry and logs ...

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 ...

Senior Golang AWS Developer

Plano, TX · On-site

$115K - $149K/yr

The right candidate brings advanced knowledge of Golang microservices, MongoDB, Kubernetes, observability tools (OpenTelemetry and Datadog), and modern CI/CD practices. Key Responsibilities * Design ...

Cloud Engineer

Plano, TX · On-site

$53.25 - $71.25/hr

Configure and monitor cloud resources using Prometheus, Grafana, Dynatrace, Splunk, Datadog , and similar tools. * Collaborate with networking teams to support service-to-service communication and ...

Showing results 21-40

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.
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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.

Major Incident Response Production Support

Fidelity Investments

Westlake, TX • On-site

Full-time

Re-posted 7 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 271 frontline employees who took The Breakroom Quiz

15th of 150 rated financial services


Job description


Note: Fidelity is not providing immigration sponsorship for this position.
The Role
We are seeking a technical problem solver with a strong background in production support to join our Major Incident Management team. This role combines Major Incident Management responsibilities with hands-on technical expertise across cloud, infrastructure, and application environments.
The ideal candidate is passionate about troubleshooting, thrives in high-pressure situations, and is eager to grow their technical and coordination skills in a dynamic environment.
The Expertise and Skills You Bring
  • Requires Bachelors or equivalent with 2+ years of experience or Masters with 0+ years of experience
  • A minimum of 2 + years of hybrid experience in Production Support, Development or SRE Experience. Hands-On experience developing or supporting highly distributed multi-tiered systems at scale
  • Ability to triage while leading an incident call, perform root cause analysis, and be decisive under pressure
  • A self-starter and team player who can independently manage multiple responsibilities in a dynamic environment
  • Solid understanding of Cloud Computing and DevOps concepts including CI/CD Pipelines
  • Perform second-level support using visibility tools such as Datadog and Splunk and expert hands on experience with one or more (Datadog, Splunk, Grafana)
  • Understanding of ITIL processes (Incident, Problem, Change Management)
  • Effective business communication and influencing skills
  • Relevant certifications (ITIL, AWS, Azure) are a plus
  • Bonus: Retail trading , Asset Trading, or Financial Services Technology experience is a plus
  • Cloud Platforms: AWS, Azure
  • Operating Systems: Unix, Linux, Windows Server
  • Scripting and Development: Shell Script, .NET
  • Middleware and Integration: Tomcat, Apache
  • Monitoring Tools: Splunk, Datadog, Grafana,
  • Databases: Oracle DB, MS-SQL, Sybase
  • ITSM Tools: JIRA, ServiceNow

The Team
The Fidelity Support Center (FSC) is Fidelity's centralized enterprise monitoring and incident management hub. FSC supports a wide range of environments including application, distributed systems, mainframe, network, cloud, end-user computing, and security. As the first line of defense for production incidents, FSC provides detection, coordination, escalation, communication, and mitigation across the enterprise.
Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Certifications:
Category:
Information Technology
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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