Technical / Functional Skills 

• Review current DataDog setup, configurations, and integrations to include 
• CPU, Disk and Memory metrics, dashboards, logging, and alerting 
• CMIC (home grown tool) and DataDog integration flow o Centrify –> internal AD process monitoring 
• Benchmarking; anomaly alerting off benchmarks 
• Existing agents roll out process 
• DataDog tagging nomenclature 
• Third-party integrations if any 
• Health check and best practices gap analysis 
• Remediation plan to address issues identified in the health check report
• Remediate issues identified in the health check report · 
• Implement automated agents roll out process
• Implement automated and repeatable process to create alarms, metrics, health check monitors for onboarding new resources to DataDog
• Create process documentation
• Improve CMIC and DataDog integration flow
• Implement Centrify –> internal AD process monitoring

 

Roles & Responsibilities

• The Roles API is used to create and manage Datadog roles, what global permissions they grant, and which users belong to them.
• Permissions related to specific account assets can be granted to roles in the Datadog application without using this API. 
• For example, granting read access on a specific log index to a role can be done in Datadog from the Pipelines page.
• Work with product managers, engineers, and data scientists to understand how our customers use Datadog and what they need to succeed
• See your design work through from start to finish: turn insights from user research into ideas, sketch and prototype to bring them to life, and ship products and features that make Datadog better
• Support several product teams, and a wide variety of datasets, with explorations and prototypes for new visualizations, and improvements to existing viz, using code and real data