📋 Description

• Define the architecture for high-fidelity alerting across rule-based thresholds, ML anomaly scores
• Own the reliability of the alerting pipeline end to end, from alert evaluation through Kafka-based
• Establish robust guarantees around webhook delivery, idempotency, reliability, and sustained-load
• Drive correlation strategies that transform security tooling, monitoring telemetry, syslog
• Make topology and dependency context usable for AI/LLM-driven reasoning across investigations
• Establish the technical foundations for generating alert definitions from normalized data models

🎯 Requirements

• Demonstrated experience designing, building, or operating high-reliability alerting, detection, or
• Strong experience implementing and operating both rule-based and ML-driven detection or
• Advanced experience with Apache Kafka, particularly producing and consuming event streams for
• Strong understanding of telemetry and protocol data, including security tooling output, monitoring
• Ability to transform diverse technical data sources into meaningful network and system topologies
• Proven experience building systems where webhook reliability, idempotency, delivery guarantees, and

🎁 Benefits

• 100% remote work environment.
• Opportunity to work on a technically challenging alerting and signal-processing platform with
• High level of technical ownership and influence over architecture and engineering strategy.
• Opportunity to work with cloud-native technologies, distributed systems, event streaming
• Growth opportunities within a high-growth technology environment.
• Culture that encourages innovation, bold ideas, and technical ownership.