Principal Software Engineer, AI SIEM
Core
Architect and optimize the full-stack AI SIEM system, bridging data ingestion, query engines, analyst workflows, and detection logic to protect global enterprises.
Role type
Principal Software Engineer (AI SIEM Architecture)
Builds
Autonomous detection and response platform for endpoint, cloud, identity, and data security
Domain
Cybersecurity / AI / Distributed Systems
Deliverable
production ML models | product features | infrastructure
Required skills
Large-scale distributed backend systems, high-throughput data ingest/storage, query engines, detection/rules systems, API design, cross-team architectural reasoning, peer influence without authority, cloud infrastructure, data-intensive systems
Preferred skills
Security operations concepts (SIEM/XDR), rule-based and ML/AI-driven detection approaches
Technologies
None explicitly listed (focus on concepts and tradeoffs)
Responsibilities
Build a mental model of the full system to identify architectural gaps and redundancies; Drive cross-team architectural decisions affecting multiple pillars; Partner with engineering leads as a peer thought partner; Identify and prioritize high-leverage architectural investments; Prototype and build connective tissue between pillars; Mentor senior and staff engineers; Represent technical health in leadership conversations
Seniority
Principal, strategy & mentorship
