Staff Analytics Engineer

About the Role
Dragos is seeking a highly skilled Analytics Engineer to join our Content creation team. The ideal candidate will play a pivotal role in enhancing the security of operational technology (OT) environments. Collaborating closely with our team of expert protocol reverse engineers and developers, this person will be responsible for the identification and classification of OT assets. This critical function supports the development of comprehensive vulnerability mappings and the advancement of threat detection capabilities. 

Responsibilities

• Participate in efforts for discovering and cataloging OT assets using advanced detection methodologies.
• Work in tandem with reverse engineers to decipher proprietary protocols and uncover asset attributes using vendor documentation and protocol specifications.
• Partner with developers to integrate findings into Dragos’s threat detection and response platform.
• Contribute to the creation of detection logic and rules for real-time threat monitoring of atomic operations.
• Troubleshoot and fix both internal engine configurations and python analytics use for asset identification and atomic operations.
• Develop and document team CI/CD and testing standards, authoring unit, integration, and end two end tests to verify characterizations and detections are working as expected.  
• Collect PCAPs using OSINT, Generate PCAPs utilizing test range, or craft PCAPs utilizing software to use in both detection development and regression testing.  

Qualifications

• 4 years in a production software development environment, with 2 years of experience with python development. 
• 6+ years in cyber security related field; operations, threat hunting, detection development, offensive operations, threat emulation, security research, or security tool development.
• Experience with analysis of network packet captures (PCAPs) and traffic using tools such as Wireshark and Network Miner.
• High level of experience using Suricata, Wireshark/tshark for network packet capture (PCAPs) analysis, and SIEM tools.
• Familiarity with containerized solutions for debugging.  
• A solid understanding of both Linux and windows command line tools for debugging.
• A Strong ability to conduct open-source research.  
• Experienced with git (or other software version control solutions).
• ICS/OT knowledge and experience.
• Experience developing in Rust or applying AI/ML techniques in production environments is a plus.
• Familiarity with building data pipelines using Python and cloud platforms (AWS, GCP, or Azure), along with SQL, data normalization, and data warehousing experience is beneficial.
• Exposure to OT technologies, such as PLC programming or HMI configuration, is nice to have.
• Knowledge of tools like Zeek or Yara for threat detection or network analysis is helpful.
• Experience with the ELK stack (Elasticsearch, Logstash, Kibana) for log and event analysis is a plus.
• Experience incorporating AI tools, models, or services into development workflows

 

Compensation

• Base Salary: $192,000
• Competitive Equity Package
• Comprehensive Benefits plan

 

 

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