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Detection Engineer

Varonis
USA
Full-time
Mid · 4+ years experience
Hybrid
Discovered 6 days ago
PythonSQLSparkPySpark
Free

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  • Research emerging threats, attacker techniques, and security trends, and translate them into scalable detection capabilities and security analytics.
  • Investigate detection gaps, real-world incidents to identify opportunities for improving coverage, accuracy, and customer outcomes.
  • Leverage diverse telemetry sources and security signals to identify malicious activity, improve threat visibility, and strengthen detection coverage across cloud, identity, SaaS, and data security environments.
  • Evaluate and improve the quality of existing detections by reducing false positives, increasing fidelity, and ensuring detections remain effective against evolving attacker techniques.
  • Contribute to strategic detection initiatives, including advanced threat analytics, detection enrichment, risk scoring, behavioral analytics, and next-generation detection approaches.
  • Communicate technical findings, detection logic, and investigation outcomes to both technical and non-technical stakeholders.
  • Stay current with emerging attack techniques, threat intelligence, security research, and industry best practices to continuously enhance detection capabilities.
  • 4+ years of experience in Detection Engineering, Threat Hunting, Incident Response, Security Research, DFIR, MDR, or a related security discipline
  • Experience analyzing large-scale datasets and building data-driven solutions using Python, SQL, Spark, PySpark, or similar technologies
  • Proven ability to translate attacker techniques, security research, and real-world incidents into scalable and effective detection logic
  • Strong understanding of modern attack methodologies
  • Strong investigative and analytical skills, with the ability to analyze ambiguous security problems and drive them to resolution
  • Excellent communication and collaboration skills, with the ability to work effectively across Engineering, Product Management, MDR, Forensics, and Support teams
  • Demonstrated ownership mindset and ability to independently lead initiatives from problem identification through implementation and operationalization
  • Ability to balance research, execution, operational responsibilities, and long-term strategic work in a fast-paced environment
  • Passion for continuous learning, curiosity about attacker behavior, and a desire to stay at the forefront of the cybersecurity landscape
  • Experience building detections for identity, SaaS, data security, insider risk, or behavioral analytics use cases.
  • Experience evaluating detection quality, measuring effectiveness, improving precision and recall through data analysis and feedback loops.
  • Designing and developing scalable agentic pipelines to drive innovation across threat detection and security operations

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