Position Summary
The Splunk Engineer with Cribl will be responsible for architecting managing and optimizing data ingestion pipelines into Splunk using Cribl Stream and Cribl Edge. This role ensures efficient log routing transformation filtering and enrichment to maintain high performance cost optimization and observability across enterprise environments.
The ideal candidate will have deep experience with Splunk Enterprise Cribl data pipelines and strong scripting and automation skills to manage large-scale data flows securely and efficiently.
Key Responsibilities
Design implement and maintain data ingestion pipelines from multiple data sources into Splunk via Cribl Stream.
Manage and optimize log routing filtering and transformations for performance and storage efficiency.
Configure and tune Splunk indexers forwarders and search heads for large-scale environments.
Develop and maintain Cribl pipelines sources destinations and pack configurations.
Implement data governance policies and ensure compliance with security and retention requirements.
Work with cross-functional teams (security DevOps and infrastructure) to troubleshoot data flow issues.
Automate onboarding of new log sources and transformations using Cribl APIs and Splunk scripts.
Monitor and report on data ingestion metrics pipeline performance and Splunk health dashboards.
Participate in incident response and RCA for data ingestion or Splunk-related issues.
Maintain detailed technical documentation SOPs and runbooks for Splunk/Cribl operations.
Required Skills:
SPLUNK
Position SummaryThe Splunk Engineer with Cribl will be responsible for architecting managing and optimizing data ingestion pipelines into Splunk using Cribl Stream and Cribl Edge. This role ensures efficient log routing transformation filtering and enrichment to maintain high performance cost optim...
Position Summary
The Splunk Engineer with Cribl will be responsible for architecting managing and optimizing data ingestion pipelines into Splunk using Cribl Stream and Cribl Edge. This role ensures efficient log routing transformation filtering and enrichment to maintain high performance cost optimization and observability across enterprise environments.
The ideal candidate will have deep experience with Splunk Enterprise Cribl data pipelines and strong scripting and automation skills to manage large-scale data flows securely and efficiently.
Key Responsibilities
Design implement and maintain data ingestion pipelines from multiple data sources into Splunk via Cribl Stream.
Manage and optimize log routing filtering and transformations for performance and storage efficiency.
Configure and tune Splunk indexers forwarders and search heads for large-scale environments.
Develop and maintain Cribl pipelines sources destinations and pack configurations.
Implement data governance policies and ensure compliance with security and retention requirements.
Work with cross-functional teams (security DevOps and infrastructure) to troubleshoot data flow issues.
Automate onboarding of new log sources and transformations using Cribl APIs and Splunk scripts.
Monitor and report on data ingestion metrics pipeline performance and Splunk health dashboards.
Participate in incident response and RCA for data ingestion or Splunk-related issues.
Maintain detailed technical documentation SOPs and runbooks for Splunk/Cribl operations.
Required Skills:
SPLUNK
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