Security Researcher

A high-potential, venture-backed Security Data & AI startup engineering a next-generation platform that aggregates, enriches, and structures multi-source security telemetry and logs for enterprise defense and AI engines.

Backed by top-tier venture capital funds post a substantial Seed round, the company eliminates telemetry fragmentation to empower SOC teams, detection engineers, and autonomous threat-hunting workflows.

Operating with a high-caliber core team of ~20 professionals in Israel, the company delivers mission-critical data infrastructure to major global B2B enterprise clients.

Located in central Tel Aviv (Walking distance from both light-rail and train stations), operating on a hybrid model.

Role Description-

• Serving as a Senior Cyber Security Researcher & Data Analyst, bridging deep security threat research with large-scale data analytics to drive next-generation detection and threat hunting engines.
• Analyzing, normalizing, and modeling diverse Security Telemetry sources across Endpoints, Cloud infrastructures, Identity providers (IAM), Network flows, and SaaS applications.
• Designing and implementing automated AI Agents and workflows for autonomous Threat Hunting, Detection Engineering, and Incident Response investigations.
• Working extensively with massive Big Data environments, writing complex analytical logic and detection rules using Python and SQL.
• Driving deep-dive root cause analyses, telemetry correlation, and incident response investigations on high-scale customer environments.
• Collaborating cross-functionally with Core Data Engineers, AI/ML Researchers, and Product teams to transform complex telemetry into actionable security intelligence.

Requirements

• 5+ years of hands-on experience as a Cyber Security Analyst / Security Researcher / Threat Intelligence Analyst – Mandatory
• Proven hands-on domain experience in at least one of the following: Detection Engineering, Threat Hunting, or Incident Response (DFIR) – Mandatory
• Strong programming proficiency in Python for data processing, scripting, and security tooling – Mandatory
• Extensive hands-on expertise in Complex SQL, Data Modeling, and Large-Scale Data Queries – Mandatory
• In-depth understanding of diverse security logs and telemetry formats (e.g., EDR logs, CloudTrail/Cloud logs, Okta/Identity, Syslog, Zeek/Network) – Mandatory
• Hands-on experience working with Big Data platforms / Cloud Data Warehouses (e.g., Snowflake, BigQuery, ClickHouse, Athena) – Significant Advantage
• Practical knowledge or experience with AI Agents, LLM-driven security workflows, or prompt engineering – Advantage