SenseOn is building the next generation of security operations, one where AI doesn't just assist analysts but actively drives detection engineering. We're looking for a Security Engineer who can do two things simultaneously: write high-quality detection rules that stop real adversaries today, and help us build the platform infrastructure that lets AI write and evolve those rules tomorrow.

The threat landscape is shifting in kind. Adversaries are increasingly using AI to accelerate attack development, automate reconnaissance, generate convincing phishing at scale, and adapt tradecraft faster than traditional detection cycles can follow. We need someone who understands this emerging class of AI-driven attacks, and can build detections that are specifically designed to identify their signatures: anomalous automation patterns, LLM-generated content in phishing chains, unusually fast and broad enumeration, and AI-assisted lateral movement. Detecting AI requires thinking like AI.

This is not a pure analyst role. It is not a pure developer role.



It's the bridge between them and the person who builds that bridge.

What You'll Actually Be Doing:
Detection Engineering (The Foundation):
- Author and maintain detection rules across SenseOn's dual-engine architecture:
- Real-time streaming detections evaluated in milliseconds, written as YAML compiled to binary rulesets
- Batch behavioral detections backed by parameterised ClickHouse SQL, running on a seconds-to-minutes cadence
- Write aggregations and materialised views in ClickHouse that power statistical anomaly baselines
- Build and extend our hunting query library. MITRE-mapped ClickHouse queries that analysts use daily for threat hunting
- Map every rule precisely to MITRE ATT&CK; techniques and tactics, including subtechnique granularity
- Instrument your own rules: measure false positive rates, define confidence scores, build test datasets, and own the quality of what ships
- Tune detections against real-world telemetry

📌 Security Engineer (Buenos Aires)
🏢 SenseOn
📍 Buenos Aires