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# Datadog SME with DevOps

- **Company:** Net2Source
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Application Performance Management, Microsoft Azure, Bash Shell, Cloud Computing, Cloud Engineering, Software Code Optimization, Databases, Continuous Integration, Linux, DevOps, Github, Monitoring of Systems, Information Technology Operations, Python (Programming Language), Network Monitoring, OpenShift, Performance Tuning, Windows PowerShell, Reliability Engineering, Ansible, Prometheus, Datadog, Data Logging, Scripting, Google Cloud, System Availability, Delivery Pipeline, Grafana, Multi-Cloud, HybridCloud, Infrastructure as Code (IaC), Gitlab, Kubernetes, Infrastructure Automation Frameworks, Deployment Automation, Performance Monitor, Hashicorp, Hardware Infrastructure, Terraform, Splunk, Network Server, New Relic (SaaS), Dynatrace, Docker, Jenkins, Microservices
- **Published:** November 3, 2026
- **Apply:** https://www.careerbuilder.com/job-details/datadog-sme-with-devops-dallas-tx--1debab61-faa3-4d7a-a1b2-5673c807cf1c

## About the Role

DevOps, Cloud Computing, DevOps, Reliability Engineering, Automation, Cloud Architecture, Best Practices, Incident Management, Performance Analysis, Architectural Design, We are 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 have 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., * 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 with DevOps transformation and automation initiatives.
 * Experience designing monitoring architectures for hybrid-cloud and multi-cloud environments.
 * Strong knowledge of:
 * Datadog Infrastructure Monitoring
 * Application Performance Monitoring (APM)
 * Log Management
 * Synthetic Monitoring
 * Network Performance Monitoring
 * Real User Monitoring (RUM)
 * Incident Management and On-Call Processes
 * Experience with Kubernetes, Docker, and OpenShift.
 * Experience with Azure, AWS, and/or GCP cloud platforms.
 * Strong 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.

## Description

* Define and implement enterprise monitoring and observability strategies.
 * Lead Datadog architecture, design, governance, and operational excellence initiatives, including APM, RUM, synthetics, and cloud integrations.
 * Establish monitoring standards, naming conventions, tagging frameworks, and dashboard standards.
 * Develop monitoring maturity roadmaps aligned with business objectives.
 * Serve 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, GCP, 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 (IaC), including Terraform, Ansible, and CI/CD pipelines.
 * Perform root cause analysis and troubleshoot production issues.
 * Establish monitoring best practices for microservices, containers, APIs, databases, and cloud-native workloads.
 * Support capacity planning, performance tuning, and platform optimization initiatives., * Microsoft Azure Administrator or Azure DevOps Engineer
 * AWS Solutions Architect or AWS DevOps Engineer
 * Kubernetes certifications (CKA/CKAD)
 * HashiCorp Terraform Associate

Key Deliverables

 * Enterprise monitoring architecture.
 * Standardized dashboards and alerting framework.
 * Automated monitoring deployment pipelines.
 * Performance and availability reporting.
 * Operational runbooks and knowledge transfer documentation.
 * Monitoring governance framework and observability best practices.