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Datadog Jobs in Texas (NOW HIRING)

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 • ...

Utilize monitoring and analytics tools such as Splunk or Datadog for system insights. * Apply ITIL practices and contribute to continuous improvement of operational processes. * Provide production ...

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 ...

Oversee architecture standards, monitoring tooling (Oracle Enterprise Manager, Microsoft System Center Operations Manager, Datadog), and the custom-built DB360 platform for automated password resets ...

Leverage logs and application performance metrics in Splunk and Datadog to proactively diagnose and resolve errors. * Comprehensive Quality Assurance (QA): Collaborate closely with independent ...

Java Full Stack -Lead

Dallas, TX · On-site

$52.25 - $67.25/hr

Leverage logs and application performance metrics in Splunk and Datadog to proactively diagnose and resolve errors. * Comprehensive Quality Assurance (QA): Collaborate closely with independent ...

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... Datadog Strong communication skills with technical and non-technical teammates

Proven experience integrating telemetry data with Grafana and Datadog * Strong proficiency in Kotlin, Go, Python, or Java, with Kotlin experience highly valued * Deep understanding of distributed ...

Monitor system health and performance using tools such as Datadog and CloudWatch, driving optimization and reliability. * Maintain and improve infrastructure using tools such as AWS SSM, Terraform ...

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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, and why are they important?

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 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:
Infographic showing various Datadog job openings in Texas as of June 2026, with employment types broken down into 92% Full Time, 3% Part Time, 1% Temporary, and 4% Contract. Highlights an 75% Physical, 6% Hybrid, and 19% Remote job distribution.
Senior Golang AWS Developer

Senior Golang AWS Developer

Prolim Global

Plano, TX • On-site

$115K - $149K/yr

Contractor

Posted 8 days ago


Job description

PROLIM Global Corporation (www.prolim.com) is currently seeking 3 open position junior , midlevel and senior  Golang AWS Developer  for location plano texas  United States for one of our Top clients.
Senior Golang AWS Developer (10-15 Years’ Experience)
location : plano texas 

Description

We are seeking an accomplished Senior Golang Developer with a proven track record in architecting and deploying robust, cloud-native solutions on AWS. In this onsite role, you’ll collaborate closely with a Technical Architect and take the lead in guiding an offshore engineering team. The right candidate brings advanced knowledge of Golang microservices, MongoDB, Kubernetes, observability tools (OpenTelemetry and Datadog), and modern CI/CD practices.

Key Responsibilities

•   Design and architect Golang-based microservices using Gorilla Mux and gRPC frameworks

• Manage large-scale data operations with MongoDB, focusing on indexing and schema optimization

•  Take ownership of the entire application lifecycle on AWS, including API Gateway, Lambda, EKS, EC2, and S3

•  Develop and maintain containerized environments with Docker and Helm

• mplement comprehensive observability with OpenTelemetry, exporting metrics and logs to Datadog

•  Lead and enhance CI/CD workflows using GitLab and GitHub Actions

•   Troubleshoot complex production issues and drive root cause analysis

•   Mentor offshore developers, fostering quality and best practices throughout the team

Requirements

• 10-15+ years in backend software development, with at least 7 years in Golang

• Extensive experience with MongoDB, including NoSQL data modeling and performance tuning

• Strong background in AWS deployments and architecture

• Proficient with Kubernetes, Docker, and Helm for container orchestration

• Expertise in CI/CD automation (GitLab, GitHub Actions)

• Advanced Linux scripting and debugging skills

• Hands-on experience with TDD and SonarQube to ensure code quality

• Excellent communication, leadership, and cross-functional teamwork abilities

Preferred Experience

• Knowledge of EV telematics and integrating with Stripe or Zuora

• Experience with payment systems such as Apple Pay, Google Pay, or cryptocurrency payment solutions

• Frontend development skills with Vue.js or React.js