Cloud Threat Research Expert

Há 3 dias

Brasil beBeeResearch Tempo inteiro US$150.000 - US$200.000

As a Cloud Threat Research Expert, you will play a key role in our globally recognized research team, analyzing vast amounts of global telemetry data from network, web, and cloud environments to uncover emerging threats. Your technical expertise in web, network, and cloud threats will be crucial in identifying sophisticated phishing campaigns, compromised devices, and attacks targeting or abusing cloud infrastructure.

About the Role

This is a unique opportunity to join a dynamic team of security researchers and subject matter experts who are passionate about solving today's security challenges in new and innovative ways. You will work closely with internal product and engineering teams to ensure that your insights translate into practical defensive measures for our customers, enhancing existing product features and driving innovation.

Key Responsibilities
  • Threat Analysis: Conduct in-depth investigations into multi-stage threats spanning web, network, and cloud environments, analyzing network traffic, API traffic, and cloud service logs to identify malicious patterns, adversary infrastructure, and attacks.
  • Threat Hunting: Use advanced analysis tools (e.g., Jupyter, Looker, Spark, SQL) to query and interrogate vast datasets of telemetry, identifying trends and emerging attack techniques that evade traditional defenses.
  • Threat Landscape Monitoring: Stay up-to-date with current and emerging threats, providing timely updates and recommendations for public communication.
  • Intelligence Sharing & Collaboration: Actively participate in and contribute to the broader security community, sharing indicators of compromise (IOCs) and tactical intelligence with trusted partners.
  • Public-Facing Research: Author and publish high-impact technical blog posts, white papers, and research reports detailing your findings, presenting your research at security conferences and webinars.
Preferred Qualifications
  • Data Analysis: Proficiency in data analysis, scripting, and statistical modeling using tools and languages such as SQL, Python (with libraries like Pandas), and Jupyter Notebooks.
  • Community Involvement: Demonstrated experience in sharing intelligence with the security community, including publications, conference talks, and active participation in sharing groups.
  • Ai Model Enhancement: Experience collaborating with data science teams to improve the efficacy of AI-driven security models, providing expert-labeled data, validating model outputs, and providing contextual understanding needed to detect novel threats in massive datasets.
  • Machine Learning: Familiarity with machine learning concepts as they apply to threat detection and experience working with or validating AI-driven security alerts.
Education
  • Bachelor's degree in Computer Science or equivalent required, Master's degree in Computer Science or equivalent strongly preferred.

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