Senior Threat Hunting Researcher (Cybersecurity)

TL;DR

Senior Threat Hunting Researcher (Cybersecurity): Proactively hunting for suspicious behaviors and emerging threats across diverse telemetry to identify vulnerabilities that evade traditional security with an accent on detection engineering and incident investigation. Focus on translating low-fidelity signals into high-fidelity hunting logic and reusable detection opportunities to improve protection and operational scalability.

Location: Tel Aviv, Israel (Onsite)

Company

hirify.global is a global leader in cybersecurity dedicated to protecting the digital way of life through innovation and AI.

What you will do

• Proactively hunt for suspicious behaviors, malware activity, and threat actor tradecraft across large-scale customer telemetry.
• Build, validate, and tune hunting and detection logic across multiple data sources and security products.
• Translate low-fidelity signals and coverage gaps into high-fidelity hunting content and reusable detection opportunities.
• Investigate suspicious activity using telemetry and communicate findings, limitations, and recommended next steps.
• Collaborate with MDR, Incident Response, and Engineering teams to improve protection and operational scalability.
• Deliver evidence-based reports to help customers understand risk and improve defenses.

Requirements

• 6+ years of hands-on cybersecurity experience in threat hunting, incident response, detection development, or SOC.
• Strong understanding of attacker tradecraft, hunting methodologies, and behavior-based detection concepts.
• Hands-on experience with XDR, EDR, SIEM, cloud, or identity platforms.
• Proven experience writing complex logic using XQL, SQL, KQL, or SPL.
• Strong understanding of detection quality concepts, including true-positive/false-positive analysis and signal-to-noise ratio.
• Must be based in Tel Aviv; the company will not sponsor work visas for this position.

Nice to have

• Proficiency in Python, automation, or big-data hunting experience.
• Experience with data science, statistics, anomaly detection, clustering, or behavioral baselining.

Culture & Benefits

• Collaborative in-person work environment designed for real-time problem-solving and stronger relationships.
• Culture based on disruption, collaboration, execution, integrity, and inclusion.
• Integration of AI into the workflow to augment individual impact.
• Commitment to diversity and reasonable accommodations for all qualified individuals.