Explore and, where valuable, drive the adoption of AI/ML techniques to accelerate research, development, and validation such as automated signature generation, false positive/negative reduction, anomaly detection, and intelligent triage of emerging vulnerabilities.
Design and scale automation frameworks for recurring research, development, and validation tasks.
Continuously evaluate emerging technologies and threat trends, and collaborate with customers, vendors, and internal stakeholders to expand detection coverage.
Partner with Customer Support and Research teams to lead the resolution of complex customer issues, such as false positives/negatives, and drive systemic fixes.
Represent the team in cross-functional planning, providing technical estimates, risk assessments, and delivery commitments.
Champion strong documentation, knowledge sharing, and a culture of engineering excellence.
Qualifications
7+ years of experience in network and systems security, including demonstrated technical leadership or team mentorship.
Deep understanding of common protocols: TCP/IP, HTTP, FTP, SSH, SSL/TLS.
Strong knowledge of common security vulnerabilities and mitigation techniques.
Hands-on experience with Python and Bash scripting.
Hands-on working experience with containers and orchestration tools (Docker, Kubernetes).
Familiarity with network analysis tools and packet capture analysis.
Strong ability to prioritize, plan, and manage multiple workstreams and people in a fast-paced environment.
System administration experience on Windows or Unix/Linux platforms.
Strong understanding of VPNs, Firewalls, and IDS/IPS technologies.
Excellent written and verbal communication skills, including the ability to communicate technical concepts to both engineers and non-technical stakeholders.
Additional Plus Competencies
Exposure to applying AI/ML to security problems - e.g., using machine learning for detection, classification, anomaly detection, or pattern recognition, or leveraging LLMs to automate research, code, or content-generation workflows.
Knowledge of Lua (preferred) or Java.
Experience with virtualization platforms such as VMWare, VirtualBox, XEN, etc.
Understanding of cloud platforms (e.g., AWS, Azure, Oracle Cloud), including their AI/ML services.
Experience using or developing vulnerability scanners, IDS/IPS, and other security tools.
Prior experience building security-related tools or automation at scale.
Industry certifications such as OSCP, CISSP, and GIAC.
Track record of leading projects and small teams independently with minimal supervision.
Why Join Us?
Lead cutting-edge security research and shape how AI/ML transforms vulnerability detection alongside a talented, collaborative engineering team.
Directly influence the security posture of thousands of customers.
Opportunities for professional development, certifications, and continuous learning.
Inclusive culture that values innovation, ownership, and customer impact.
