Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
8+ years of professional software engineering experience, with at least 2 years in Principal, Lead, or Staff capacity shipping enterprise-grade software
Expert-level programming skills in Python and Go, with an emphasis on writing production-quality, well-tested, and modular code
Experience in machine learning, statistics, or a related quantitative discipline
Experience building or operating production AI/ML systems, including model lifecycle management, data/training pipelines, and monitoring
Expertise in applying machine learning or data science techniques to cybersecurity use cases such as anomaly detection, behavioral analysis, or threat classification
Advanced understanding of threat detection methodologies, intrusion prevention systems, and incident response workflows
A strong fundamental understanding of network telemetry and protocols
Prior experience working in the cybersecurity domain. Familiarity with threat actor techniques and common network attack vectors
Familiarity with machine learning applications in cybersecurity
Understanding of threat detection, intrusion prevention, and incident response strategies
Deep experience with cloud services on AWS or Azure
Deep experience with containerization and orchestration technologies including Docker and Kubernetes at production scale
Strong written and verbal communication skills, including the ability to influence technical and non-technical audiences at the executive level