Datadog Engineer
1 week ago
Location: Tampa, FL
.About the Role:
We are seeking a highly motivated and experienced Datadog Engineer to join our team in Tampa, FL. In this role, you will play a critical role in optimizing and expanding our Datadog environment, ensuring efficient monitoring and alerting for various systems and processes.
Responsibilities:
- Datadog Environment Optimization:
- Review and analyze existing Datadog configurations, including metrics, dashboards, logging, and alerting.
- Identify areas for improvement and implement best practices to enhance monitoring effectiveness.
- Integrate Datadog with internal tools like CMIC and Centrify for comprehensive monitoring.
- Implement automated agent deployment and configuration management for efficient scaling.
- Develop and maintain documentation for Datadog processes and configurations.
- Monitoring and Alerting:
- Define and implement anomaly detection and alerting based on performance benchmarks.
- Create and maintain dashboards to visualize key metrics and identify potential issues.
- Configure and tune alerts to ensure timely notification and appropriate escalation procedures.
- Collaboration and Knowledge Sharing:
- Work closely with cross-functional teams (product, engineering, operations) to understand monitoring needs and requirements.
- Share knowledge and expertise of Datadog best practices within the team.
- Stay up-to-date on the latest Datadog features and functionalities.
Qualifications:
- Essential Skills:
- 4-6 years of experience in system administration, monitoring, or related technical field.
- Proven experience with Datadog, including configuration, dashboards, and alerting.
- Strong understanding of monitoring principles and best practices.
- Familiarity with scripting and automation tools (e.g., Bash, Python) is a plus.
- Excellent communication and collaboration skills.
- Desirable Skills:
- Experience with CMIC integration and internal AD process monitoring.
- Knowledge of infrastructure as code (IaC) concepts and tools.
- Experience with data visualization and exploration techniques.
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