Observability Engineer (Datadog Specialist)

cloudEQ, a leading technology company specializing in cloud-native solutions, is dedicated to delivering innovative, high-quality products and services to clients. The company's commitment to cutting-edge technology and customer satisfaction creates an ideal environment for talented professionals seeking to make a significant impact in the cloud technology sector. Key Responsibilities - Implement and manage full-stack observability using Datadog, ensuring seamless monitoring across infrastructure, applications, and services. - Instrument agents for on-premise, cloud, and hybrid environments to enable comprehensive monitoring. - Design and deploy key service monitoring, including dashboards, monitor creation, SLA/SLO definitions, and anomaly detection with alert notifications. - Configure and integrate Datadog with third-party services such as ServiceNow, SSO enablement, and other ITSM tools. - Develop and maintain Infrastructure as Code (IaC) using Terraform for scalable observability deployment. - Ensure security and vulnerability management within observability frameworks, aligning with best practices. - Design and implement Digital Experience Management (DEM) strategies to enhance application performance and user experience. - Define and enforce policy design for monitoring, ensuring standardization across the organization. - Optimize cloud agent instrumentation, with cloud certifications being a plus. Required Skills & Certifications - Datadog Fundamental, APM and Distributed Tracing Fundamentals & Datadog Demo Certification (Mandatory) - Strong understanding of Observability concepts (Logs, Metrics, Tracing) - Possesses 1 year of experience with Terraform for automation - Expertise in security & vulnerability management in observability - Possesses 2 years of experience in cloud-based observability solutions, specializing in monitoring, logging, and tracing across AWS, Azure, and GCP environments. Skills - Python - NQRL - SQL - NoSQL Apply Now,