Staff Security Researcher at BeyondTrust combining cutting-edge security research with robust engineering practices. Focused on evolving identity security systems and protecting customers from threats.
Responsibilities
Conduct original security research to identify emerging identity attack vectors and develop novel detection methodologies
Design and implement advanced analytics including rule-based systems, behavioral analysis, and machine learning models for threat detection
Expand and optimize our large-scale entitlement graph systems that map privilege escalation paths across customer environments
Develop proactive recommendation engines that identify security misconfigurations before they become attack vectors
Build production-grade security systems with emphasis on scalability, reliability, and performance optimization
Implement and maintain detection pipelines using PySpark, Spark SQL, and distributed computing frameworks
Design custom data representations (graphs, time-series, etc.) to support advanced analytical capabilities
Establish engineering best practices including comprehensive unit testing, automation, and CI/CD pipelines
Explore large-scale customer datasets using Spark and Databricks to validate detection hypotheses and uncover new threat patterns
Continuously monitor and tune detection algorithms based on real-world telemetry and performance metrics
Collaborate with data science teams to integrate machine learning models into production detection systems
Optimize system performance to handle massive data volumes efficiently
Provide technical leadership and mentorship to product and engineering teams
Present research findings at industry conferences and security forums
Publish technical blogs and research papers to establish thought leadership
Collaborate with cross-functional teams to translate research insights into product roadmap priorities
Requirements
Strong engineering background with proven experience developing and maintaining production security systems
Strong Python programming skills with experience in large-scale data processing
Proficiency in SQL and database optimization techniques
Experience working with SIEM tools, log analysis platforms, or similar security data systems
Knowledge of adversarial tactics, techniques, and procedures (TTPs) and corresponding defensive strategies
Experience in engineering event detection and response systems with focus on tuning and optimization
Big data processing experience with Apache Spark, Databricks, or similar distributed computing platforms
Background in security research with published findings or conference presentations
Knowledge of cloud security, containerization, and modern infrastructure technologies
Experience with graph databases and network analysis techniques
Familiarity with machine learning applications in cybersecurity
Track record of speaking at technical conferences or contributing to security research publications.
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