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Staff Security Researcher
Высокий балл за работу в компании-лидере рынка с доступом к уникальным данным и возможность заниматься R&D. Удаленный формат работы и сильная инженерная культура делают вакансию крайне привлекательной для экспертов топ-уровня.
Сложность вакансии
Роль требует редкого сочетания глубоких навыков в области безопасности (IAM, Active Directory, TTPs) и серьезного инженерного опыта (Big Data, Spark, Graph DB). Уровень Staff подразумевает не только техническую экспертизу, но и лидерство, а также публичную деятельность в ИБ-сообществе.
Анализ зарплаты
Предлагаемая роль Staff-уровня в США и Канаде обычно оплачивается значительно выше среднего по рынку ИТ из-за узкой специализации на стыке Security Research и Big Data Engineering. Указанный диапазон отражает рыночные реалии для крупных кибербез-компаний уровня Tier-1.
Сопроводительное письмо
I am writing to express my strong interest in the Staff Security Researcher position at BeyondTrust. With a deep background in identity security and a passion for translating complex research into production-ready engineering solutions, I have closely followed the work of Phantom Labs and admire your commitment to neutralizing identity-based threats. My experience in developing detection methodologies and working with large-scale entitlement graphs aligns perfectly with your mission to protect Paths to Privilege™.
In my previous roles, I have successfully bridged the gap between security research and scalable software engineering, utilizing tools like Spark and Databricks to analyze massive datasets. I am particularly excited about the opportunity to leverage graph theory and AI to identify misconfigurations and privilege escalation paths. I am confident that my technical leadership and track record of contributing to the security community will allow me to make a significant impact on your SaaS portfolio and help BeyondTrust continue to lead the market.
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Присоединяйтесь к команде BeyondTrust и станьте архитектором будущего в сфере безопасности идентификации!
Описание вакансии
BeyondTrust is a place where you can bring your purpose to life through the work that you do, creating a safer world through our cybersecurity SaaS portfolio.
Our culture of flexibility, trust, and continual learning means you will be recognized for your growth, and for the impact you make on our success. You will be surrounded by people who challenge, support, and inspire you to be the best version of yourself.
The Role
As a Staff Research Engineer, you'll drive the evolution of our identity security platform by combining cutting-edge security research with robust engineering practices. You'll work at the intersection of security domain expertise and software development, translating novel research findings into production-ready systems that protect our customers from sophisticated identity-based threats. This role offers the opportunity to shape the future of identity security through innovative research, scalable engineering solutions, and thought leadership in the security community.
Please check out our page on X -- https://x.com/btphantomlabs - for an overview of our recent projects. This will help you determine if we’re a good fit for you.
What You’ll Do
Research & Innovation
- 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
Engineering & Implementation
- Utilize graph theory to build entitlement paths from new areas of research across multiple domains
- Integrate AI usage into engineering workflows to optimize efficiency
- 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
Data Analysis & Optimization
- 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
Leadership & Knowledge Sharing
- 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
What You’ll Bring
Required Qualifications
- Strong engineering background with proven experience developing and maintaining production security systems
- 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
- Background in security research with a focus on cloud, identity/IAM, or AI.
- Experience in engineering event detection and response systems with focus on tuning and optimization
Preferred Qualifications
- 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 and AI in cybersecurity
- Track record of speaking at technical conferences or contributing to security research publications
- Active Directory or low level Windows knowledge
Technologies You Should Know
Required
- Cloud and identity platforms (AWS, Azure, GCP, Okta, Entra, etc.)
- SQL and database technologies
- Distributed data processing frameworks
Preferred
- Databricks platform
- Python
- Graph databases and analysis tools
- Containerization technologies (Docker, Kubernetes)
- Machine learning frameworks and libraries
What Makes This Role Unique
This position offers a rare opportunity to work at the cutting edge of identity security research while building systems that protect organizations worldwide. You'll have the freedom to pursue novel research directions, the resources to implement your ideas at scale, and the platform to share your expertise with the broader security community. We're looking for someone who thrives on solving hard problems, values engineering excellence, and wants to make a meaningful impact on the future of cybersecurity.
Better Together
Diversity. Inclusion. They’re more than just words for us. They are the guiding values of how we build our teams, cultivate leaders, and create a culture where people feel connected.
We take care of our employees so they can take care of our customers. Customers who come from all walks of life just like us. We hire incredible people from diverse backgrounds because when we are different together, we are stronger together.
About Us
BeyondTrust is the global identity security leader protecting Paths to Privilege™. Our identity-centric approach goes beyond securing privileges and access, empowering organizations with the most effective solution to manage the entire identity attack surface and neutralize threats, whether from external attacks or insiders.
BeyondTrust is leading the charge in transforming identity security to prevent breaches and limit the blast radius of attacks, while creating a superior customer experience and operational efficiencies. We are trusted by 20,000 customers, including 75 of the Fortune 100, and our global ecosystem of partners.
Learn more at www.beyondtrust.com.
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Навыки
- AWS
- Azure
- Python
- Okta
- GCP
- Machine Learning
- SQL
- Kubernetes
- Docker
- Apache Spark
- Databricks
- Active Directory
- SIEM
- Graph Databases
Возможные вопросы на собеседовании
Проверка понимания специфики продукта BeyondTrust — защиты путей привилегий.
Как бы вы спроектировали систему для обнаружения скрытых путей эскалации привилегий в гибридной среде Azure AD и локальной Active Directory?
Оценка навыков работы с большими данными в контексте безопасности.
Опишите ваш опыт использования Apache Spark или Databricks для выявления аномалий в логах аутентификации на масштабе миллионов событий.
Проверка умения превращать теорию в работающий продукт.
Расскажите о случае, когда вы трансформировали результаты теоретического исследования уязвимости в автоматизированное правило детектирования или защитный механизм.
Оценка знаний в области современных угроз.
Какие новые векторы атак на системы управления идентификацией (IAM) в облачных средах вы считаете наиболее опасными в ближайшие два года?
Проверка лидерских качеств и умения делиться знаниями.
Как вы подходите к менторству инженеров и как транслируете сложные концепции безопасности командам разработки, не имеющим глубокой экспертизы в ИБ?
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