Staff Security Researcher

August 27

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BeyondTrust

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Cybersecurity

BeyondTrust is a company that specializes in providing cybersecurity solutions. They focus on offering products and services that protect organizations from internal and external threats, and their solutions often involve privileged access management to secure and manage the identities and credentials of users accessing critical systems and data.

1001 - 5000 employees

Founded 1985

🔒 Cybersecurity

💰 Private Equity Round on 2021-05

📋 Description

• Drive the evolution of BeyondTrust's identity security platform by combining cutting-edge research with robust engineering • 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 large-scale entitlement graph systems that map privilege escalation paths across customer environments • Develop proactive recommendation engines that identify security misconfigurations • Build production-grade security systems emphasizing 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) 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 telemetry and performance metrics • Collaborate with data science teams to integrate machine learning models into production detection systems • Provide technical leadership and mentorship; present research at conferences and publish technical blogs and papers

🎯 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 (preferred) • Background in security research with published findings or conference presentations (preferred) • Knowledge of cloud security, containerization, and modern infrastructure technologies (preferred) • Experience with graph databases and network analysis techniques (preferred) • Familiarity with machine learning applications in cybersecurity (preferred) • Track record of speaking at technical conferences or contributing to security research publications (preferred) • Technologies: Python; SQL and database technologies; distributed data processing frameworks; Apache Spark/PySpark; Databricks; graph databases; AWS/Azure/GCP; Docker/Kubernetes; machine learning frameworks

🏖️ Benefits

• Culture of flexibility, trust, and continual learning • Diversity and inclusion; supportive culture and employee care