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Senior Cribl Engineer (Stream & Edge)
We are seeking a highly skilled and hands-on Senior Cribl Engineer with a minimum of 3 - 5 years of dedicated experience in the Cribl Stream and Edge. The ideal candidate will be a subject matter expert in designing, implementing, and optimizing large-scale data pipelines to drive SIEM efficiency and storage optimization.
Key Responsibilities:
Data 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.
Technical Requirements
Experience: 3 - 5 years of hands-on experience specifically with Cribl Stream and Cribl Edge.
Data Skills: Knowledge of Regex, JavaScript (for Cribl functions) to build complex pipelines.
Architecture: Proven experience setting up Cribl hybrid architecture by configuring Leader Nodes, Worker Nodes, Worker Groups and Fleet Management.
SIEM Understanding: Strong understanding of SIEM (Splunk, Sentinel, NG-SIEM etc..) and how data quality impacts security operations.
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
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