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Datadog SME w /DevOps

Generis TEK Inc.Dallas, TX🇺🇸United States

Quick overview

Salary$48 - $52/hr
SeniorityMid Senior
Work modeOn Site
LocationDallas, TX, United States
DockerMicroservicesShellGitAWSNew RelicSplunkAnsibleBashDatadogGitHub ActionsGoogle CloudGrafanaJenkinsPowerShellPrometheusPythonTerraformAzureKubernetesCI/CDLinuxAzure DevOps

Job description

Please Contact: To discuss this amazing opportunity, reach out to our Talent Acquisition Specialist Amanchi Suhane at email address can be reached on # .

We have Contract role Data dog SME w / DevOps for client at Dallas TX. Please let me know if you or any of your friends would be interested in this position.

Position Details:

Datadog SMEw/DevOps-DallasTX
Location :Dallas,TX–75254(Onsite)
Project Duration : 4 months (Contract to Hire)

Pay Rate : $48 - $52 an hour on W2


PositionSummary:
Seeking a highly experienced Datadog Subject Matter Expert (SME) with 10+ years of DevOps, Cloud Operations, and Enterprise Monitoring experience to lead the design, implementation, optimization, and governance of enterprise observability platforms. The ideal candidate will possess deep expertise in Datadog, cloud-native architectures, DevOps automation, Site Reliability Engineering (SRE), and enterprise-scale monitoring strategies across hybrid and multi-cloud environments.

This role will serve as the technical authority for observability, performance monitoring, logging, incident management, and platform reliability while driving monitoring best practices and operational excellence across the organization.

Key Responsibilities:

· Define and implement enterprise monitoring and observability strategies.

· Lead Data Dog architecture, design, governance, and operational excellence initiatives, APM, RUM, synthetics, and cloud integrations.

· Establish monitoring standards, naming conventions, tagging frameworks, and dashboard standards.

· Develop monitoring maturity roadmaps aligned with business objectives.

· Act as the primary escalation point for complex monitoring and performance-related issues.

· Develop enterprise observability standards, dashboards, reports, and alerting frameworks.

· Integrate Datadog with Azure, AWS, Google Cloud Platform, Kubernetes, OpenShift, and on-premises infrastructure.

· Implement proactive monitoring and incident management processes.

· Configure custom metrics, monitors, anomaly detection, and service-level objectives (SLOs).

· Collaborate with DevOps, Cloud, Infrastructure, Security, and Application teams to improve platform reliability.

· Automate monitoring deployments using Infrastructure-as-Code (Terraform, Ansible, CI/CD pipelines).

· Perform root cause analysis and troubleshooting for production issues.

· Establish monitoring best practices for microservices, containers, APIs, databases, and cloud-native workloads.

· Support capacity planning, performance tuning, and platform optimization initiatives.

Required Skills:

· 10+ years of overall IT Operations, DevOps, Cloud Engineering, or Infrastructure experience.

· 5+ years of hands-on Datadog implementation and administration experience.

· Proven experience managing enterprise-scale monitoring environments supporting thousands of servers, applications, and cloud resources.

· Extensive experience in DevOps transformation and automation initiatives.

· Experience designing monitoring architectures for hybrid cloud and multi-cloud environments.

· Strong knowledge of:

o Data Dog Infrastructure Monitoring

o APM (Application Performance Monitoring)

o Log Management

o Synthetic Monitoring

o Network Performance Monitoring

o Real User Monitoring (RUM)

o Incident Management & On-Call Processes

· Experience with Kubernetes, Docker, OpenShift.

· Experience with Azure, AWS, and/or Google Cloud Platform cloud platforms.

· Good Linux and Windows administration skills.

· Expertise in CI/CD tools such as Azure DevOps, Jenkins, GitHub Actions, or GitLab.

· Scripting experience with Python, PowerShell, Bash, or Shell.

· Experience implementing monitoring through Terraform and Infrastructure as Code practices.

· Knowledge of Prometheus, Grafana, Splunk, Dynatrace, or New Relic is preferred.

Preferred Certifications:

· Datadog Certified Professional

· Azure Administrator / Azure DevOps Engineer

· AWS Solutions Architect or DevOps Engineer

· Kubernetes (CKA/CKAD)

· Terraform Associate

To discuss this amazing opportunity, reach out to our Talent Acquisition Specialist Amanchi Suhane at email address can be reached on # .

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