Are you passionate about leveraging existing research infrastructure to advance security automation? Do you want to join our Security Automation Response and Remediation Team to transform innovative research into product features?
As a Principal Security Researcher, you will utilize and augment our established BI systems, CI/CD pipelines, and research infrastructure to meet team requirements while incorporating LLM capabilities. You will help mature promising research efforts into production-ready product features that enhance our security automation capabilities. Your expertise in security research, infrastructure utilization, and modern AI technologies will drive the evolution of our security operations.
Your Impact
Leverage existing research infrastructure to enhance security automation workflows across multiple security domains (Endpoint, Identity, DSPM, NDR)
Utilize and augment established BI data systems and CI/CD pipelines to support security research initiatives
Transform research concepts into mature, production-ready product features
Integrate LLMs and AI technologies into existing security workflows to improve detection and response capabilities
Develop tools that extend our current infrastructure to better support security research and remediation planning
Collaborate with product teams to translate successful research outcomes into customer-facing features
Partner with cross-functional teams to integrate your innovations with XDR, EDR, NDR, SOAR, and big data platforms.
As a Principal Security Researcher, you will utilize and augment our established BI systems, CI/CD pipelines, and research infrastructure to meet team requirements while incorporating LLM capabilities. You will help mature promising research efforts into production-ready product features that enhance our security automation capabilities. Your expertise in security research, infrastructure utilization, and modern AI technologies will drive the evolution of our security operations.
Your Impact
Leverage existing research infrastructure to enhance security automation workflows across multiple security domains (Endpoint, Identity, DSPM, NDR)
Utilize and augment established BI data systems and CI/CD pipelines to support security research initiatives
Transform research concepts into mature, production-ready product features
Integrate LLMs and AI technologies into existing security workflows to improve detection and response capabilities
Develop tools that extend our current infrastructure to better support security research and remediation planning
Collaborate with product teams to translate successful research outcomes into customer-facing features
Partner with cross-functional teams to integrate your innovations with XDR, EDR, NDR, SOAR, and big data platforms.
Requirements:
Strong understanding of research infrastructure, including how to effectively use BI systems, data pipelines, and automation frameworks
Experience working with CI/CD environments and methodologies to support security research initiatives
Familiarity with LLMs and AI applications in cybersecurity, including model integration into security workflows
Solid understanding of security operations, incident response, and threat research
Strong programming skills (Python preferred), with experience in automation scripting
Experience with data analysis and querying large-scale security datasets
Track record of maturing research concepts into production-ready solutions
Proven ability to work independently and as part of a research team
Critical thinker with a strong ability to innovate in security automation and AI integration
Advantages:
Experience working with cloud platforms (e.g., AWS, GCP)
Knowledge of how to leverage containerization technologies for research purposes
Experience with XDR/EDR/NDR/SOAR products and how to extend their capabilities
Intimate knowledge and understanding of attack methods and techniques
Experience developing security tools that leverage AI/ML models
Background in transforming security research into product features.
Strong understanding of research infrastructure, including how to effectively use BI systems, data pipelines, and automation frameworks
Experience working with CI/CD environments and methodologies to support security research initiatives
Familiarity with LLMs and AI applications in cybersecurity, including model integration into security workflows
Solid understanding of security operations, incident response, and threat research
Strong programming skills (Python preferred), with experience in automation scripting
Experience with data analysis and querying large-scale security datasets
Track record of maturing research concepts into production-ready solutions
Proven ability to work independently and as part of a research team
Critical thinker with a strong ability to innovate in security automation and AI integration
Advantages:
Experience working with cloud platforms (e.g., AWS, GCP)
Knowledge of how to leverage containerization technologies for research purposes
Experience with XDR/EDR/NDR/SOAR products and how to extend their capabilities
Intimate knowledge and understanding of attack methods and techniques
Experience developing security tools that leverage AI/ML models
Background in transforming security research into product features.
This position is open to all candidates.
