Manager, Cybersecurity & IT Risk ensuring audits and risk management practices at CNB. Collaborating with teams to address cybersecurity and IT controls issues effectively.
About the role
- 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.
Benefits
- Diversity
- Inclusion
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
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