Back to jobsData Engineering, Pipeline Management Architect and implementing end-to-end data onboarding from diverse sources (Syslog, S3, REST API, AWS, Azure, Firewalls, Crowdstrike, Web Proxies, Collectors) using Stream and Edge.
Design robust, scalable pipelines to reduce, parse, and transform raw data, ensuring only high-value logs reach the SIEM while routing full-fidelity data to low-cost storage.
Manage complex routing logic to send data to multiple destinations simultaneously (e.g., Splunk, Cloud, S3, Sentinel).
Demonstrate deep expertise in deploying and tweaking existing Cribl Packs. You will be expected to build custom Packs from scratch for proprietary or non-standard data sources to Configure and manage Data Replay workflows from object storage and implement real-time data enrichment using Redis, GeoIP, or lookups.
Deploy and manage Cribl Edge nodes to collect and process data at the source, ensuring seamless integration with the centralized Stream environment.
Hybrid & On-Prem Deployment of Cribl by leading the installation, configuration, and maintenance of Cribl in hybrid and strictly on-premise environments.
Manage Worker Groups and Edge Fleets, ensuring high availability, load balancing, and optimal resource allocation across the distributed architecture.
