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Tier-1 brand, metro location, and mid-level experience create moderate applicant density despite niche skills.
Deep security research, packet-level and CASB expertise reduces industry transferability significantly.
Explicit 4-9 years plus domain-specific security, ML, and tooling requirements make filters stringent.
Lead advanced security research focused on SaaS applications, API architectures, and cloud environments to develop cutting-edge threat detection and data protection technologies.
Design next-generation inline inspection algorithms and security controls for enterprise cloud ecosystems, influencing multiple Palo Alto Networks product lines (Strata, Prisma, Cortex).
Collaborate with senior engineering and research leadership to translate research insights into production-grade cybersecurity protections and mentor junior researchers.
4-9 years of hands-on experience in security research, network security, and threat analysis.
Deep expertise in network protocols (TCP/IP, HTTP/S, TLS, DNS), web APIs, and SaaS infrastructure; strong skills in packet-level inspection and traffic analysis tools (Wireshark, Fiddler, OWASP ZAP, Burp Suite).
Advanced proficiency in Python, Go, or JavaScript for developing research tooling and automation pipelines.
No visa sponsorship available; work location requirements: Not explicitly mentioned in the JD.
Technically strong security researcher with experience leading end-to-end, high-impact security research programs targeting emerging cyber threats and advanced data loss prevention techniques.
Experienced in architecting scalable automated analysis frameworks leveraging AI/ML for threat detection and mitigation in cloud security environments.
Comfortable working cross-functionally with product and engineering teams to operationalize research findings at scale within a large cybersecurity product ecosystem.