Datadog EngineerResponsibilities:Datadog Architecture: Design and optimize Datadog dashboards, monitors, and alerting for a complex environment including Kubernetes (EKS), Big Data (EMR), and Data Warehousing (Snowflake).Infrastructure Monitoring: Fine-tune observability for a "huge" EKS environment and large-scale EC2 clusters.Data Pipeline Visibility: Implement monitoring for Databricks and Snowflake to track job performance, latency, and credit consumption.Cost Optimization: Use Datadog to identify "orphaned" resources and cost spikes across the AWS and Azure stacks.Frontend Liaison: Occasional collaboration with the React team to ensure Frontend Observability (RUM) is correctly integrated.Qualifications:"Datadog Guru": Deep, hands-on experience with the Datadog suite (APM, Log Management, Infrastructure, RUM, and Cloud Cost Management).Cloud Infrastructure: Strong background in AWS (specifically EKS, EMR, and EC2).
Experience with Azure is a significant plus.Data Stack: Familiarity with monitoring Snowflake and Databricks environments.Technical Literacy: Ability to read/understand React code for troubleshooting frontend-to-backend traces.Experience: 5+ years in DevOps, SRE, or Data Engineering.Language:Professional proficiency in English for technical collaboration.Required Skills :Basic Qualification :Additional Skills :This is a high PRIORITY requisition.
Datadog Migration Specialist - TORC (LATAM) in san francisco at Unknown Company
This position is listed as full time and onsite.