We are looking at passionate threat detection engineers who like to fight bad-guys by helping organizations detect attackers within the shortest MTD possible. You will be part of the Securonix Threat Labs team that is responsible for building the security analytics content, anomaly and threat detection models for the Securonix Snypr Next Generation SIEM platform and responding and providing awareness of advanced cyber and insider threats to our community. Our team's mission is to continuously develop detection methods to address the constantly-shifting threat landscape and detect the latest real-world cyberattacks.
What your role entails:
Help develop policies and threat-models in the Snypr platform
Ensure detection content is sufficiently tested and validated before pushing to production
Develop automation framework for creation, validation and deployment of detection content
Submit clear documentation around the detection content developed
Work towards improving detection engineering processes
Engage with customers for custom threat detection development requirement
Triage customer tickets and provide L1 technical support for issues in customer environment associated to detection content
Remain aware of latest threats and associated tools, techniques and actors
Perform evaluations of open-source or commercial products for integration or improvement in threat detection
Build scripts/tools for automation of in-house projects
Provide on-call support during weekdays and weekends, if required
What skills you posses:
Strong fundamentals in network and operating systems concepts
An understanding of offensive cybersecurity domain and how threat actors operate
Experience with scripting and automation using Shell scripts, Python and/or Powershell
Comfortable with CLI and Linux environments
Working knowledge of MySQL queries
Self-starter with the ability to solve complex problems and deliver innovative solutions
Strong analytical capabilities
Understanding of the different MITRE ATT&CK Matrices
Experience working with SigmaHQ open-source framework