Responsibilities:
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. This is a PROACTIVE requisition
Background Check : No
Drug Screen : No
Responsibilities: 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...
Responsibilities:
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. This is a PROACTIVE requisition
Background Check : No
Drug Screen : No
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