Full-Time Sr Security Researcher

• Research & Analysis
• Support security research initiatives to identify identity attack patterns and develop detection approaches
• Implement analytics including rule-based detection, behavioral analysis, and machine learning models for threat identification
• Contribute to our entitlement graph systems that analyze privilege escalation paths
• Help develop recommendation systems that identify security misconfigurations in customer environments
• Engineering & Development
• Build and maintain detection systems with focus on reliability and performance
• Implement detection pipelines using PySpark, Spark SQL, and big data processing tools
• Create data representations and analysis tools to support advanced detection capabilities
• Apply engineering best practices including testing, code reviews, and documentation
• Data Analysis & Tuning
• Analyze customer datasets using Spark and other tools to test and validate detection hypotheses
• Monitor detection performance and tune algorithms based on field telemetry and feedback
• Work with data science team to integrate machine learning models into detection systems
• Optimize queries and data processing for improved system performance
• Collaboration & Growth
• Work with product and engineering teams to implement threat detection capabilities
• Participate in research discussions and contribute to technical decisions
• Present findings internally and potentially at conferences or in blog posts
• Stay current with security trends and emerging threat landscapes

• Strong programming skills in Python with experience in data processing and analysis
• Experience with SQL and working with large datasets
• Background working with SIEM tools, security logs, or similar security data platforms
• Understanding of security threats, attack techniques, and defensive strategies
• Experience building or maintaining detection systems or security analytics
• Ability to work with big data tools and distributed computing concepts

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