Familiarity with Cisco, Juniper, or other major vendor routing equipment
Familiarity with Palo Alto, Juniper, Cisco, or other major vendor firewall equipment
Demonstrated experience in developing and maintaining automated test scripts for network security validation
Proficiency in network automation and scripting (Python, Ansible, shell scripts, etc.)
Experience integrating automated test cases into CI/CD pipelines
Experience with logging/monitoring tools (Syslog, SNMP, GNMI, SIEM)
Strong troubleshooting and documentation skills
Ability to analyze test automation results and troubleshoot automation failures
Knowledge of best practices in automated testing, including test data management and reporting
Experienced in implementing and managing TACACS+ and RADIUS based AAA (Authentication, Authorization, and Accounting) solutions across enterprise network environments.
Hands-on experience with Cisco ISE, Aruba ClearPass, FreeRADIUS, and multi-vendor network security environments.
Familiarity with applying Artificial Intelligence (AI) or Machine Learning (ML) techniques in cybersecurity contexts (e.g., anomaly detection, threat hunting, behavioral analytics, or risk scoring)
Experience leveraging AI-enabled tools (such as Copilot for Security, Darktrace, CrowdStrike Charlotte AI, or custom LLM integrations) to enhance detection, response, and automation workflows
Understanding of LLM safety, prompt engineering, or AI governance frameworks (e.g., NIST AI RMF, EU AI Act readiness) is a plus
Exposure to data science fundamentals relevant to security (pattern recognition, supervised vs. unsupervised learning, model validation)
Awareness of AI-driven risks (e.g., adversarial ML, data poisoning, model hallucination) and their mitigation within enterprise environments
Interest in leveraging GenAI for security operations, such as summarizing alerts, drafting reports, or automating incident triage.