Datadog Admin

Project overview

Job Summary

We are looking for an experienced Datadog Administrator / Observability Engineer with 8+ years of overall IT experience and strong hands-on expertise in designing, implementing, administering, and optimizing enterprise monitoring and observability solutions using Datadog. The candidate should have strong knowledge of infrastructure monitoring, Application Performance Monitoring (APM), log management, dashboards, alerting, integrations, automation, and cloud environments.

Key Responsibilities

Required Skills

Preferred Skills

• Design, implement, administer, and maintain enterprise-scale Datadog environments.
• Configure and manage infrastructure monitoring, Application Performance Monitoring (APM), log management, Real User Monitoring (RUM), synthetic monitoring, network performance monitoring, and database monitoring.
• Build and maintain Datadog dashboards, monitors, alerts, SLOs, and custom metrics.
• Install, configure, upgrade, and troubleshoot Datadog Agents across Linux, Windows, containers, and cloud platforms.
• Integrate Datadog with AWS, Microsoft Azure, GCP, Kubernetes, Docker, and other enterprise platforms.
• Implement monitoring for Kubernetes clusters, containers, microservices, APIs, and distributed applications.
• Configure log collection, parsing, pipelines, indexing, retention, and correlation.
• Configure APM tracing and troubleshoot application performance issues using distributed traces, metrics, and logs.
• Define monitoring standards, alert thresholds, tagging strategies, and observability best practices.
• Automate Datadog configuration and deployment using Terraform, Ansible, Python, PowerShell, or CI/CD pipelines.
• Configure integrations with incident-management and collaboration platforms such as ServiceNow, PagerDuty, Jira, Microsoft Teams, and Slack.
• Perform troubleshooting, root-cause analysis, performance tuning, and monitoring optimization.
• Manage Datadog users, teams, RBAC, API keys, application keys, and access controls.
• Optimize Datadog usage, telemetry volume, log ingestion, custom metrics, and associated monitoring costs.
• Work closely with application, cloud, DevOps, SRE, infrastructure, and security teams.
• Prepare operational documentation, SOPs, architecture diagrams, and troubleshooting runbooks.
• 8+ years of overall IT experience, preferably with significant experience in monitoring, observability, DevOps, or SRE.
• Strong hands-on expertise in Datadog administration.
• Strong knowledge of APM, infrastructure monitoring, logs, metrics, traces, dashboards, monitors, and SLOs.
• Experience with Linux and Windows administration.
• Good knowledge of AWS / Azure / GCP monitoring environments.
• Experience with Kubernetes, Docker, and container monitoring.
• Experience with scripting and automation using Python, Shell/Bash, or PowerShell.
• Experience with Infrastructure as Code tools such as Terraform or Ansible.
• Understanding of REST APIs, JSON, YAML, and Datadog APIs.
• Strong troubleshooting and root-cause-analysis skills.
• Understanding of DevOps, CI/CD, ITIL, incident management, and SRE concepts.
• Experience migrating from tools such as Splunk, Dynatrace, AppDynamics, New Relic, SolarWinds, or Prometheus/Grafana to Datadog.
• Knowledge of Open Telemetry and distributed tracing.
• Experience supporting high-availability, production-critical environments.
• Exposure to monitoring-as-code and automated observability deployment.
• Datadog or relevant AWS/Azure/GCP certifications would be an advantage.

Project details

• Start: flexible
• Remote: remote
• Location: Remote Location, US
• Rate: 54-54 EUR/h