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Specialized cybersecurity and AI automation skills at a metro scaleup create moderate candidate competition.
Requires core cybersecurity and pentesting expertise, limiting easy transfer across non-security roles and industries.
Multiple mandatory pentesting, scripting, cloud, and LLM skills increase screening rigidity.
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Lead penetration testing and vulnerability assessment across web applications, networks, mobile apps, IoT devices, and APIs including REST/SOAP/GraphQL and middleware channels.
Develop and maintain automation tools, scripts, and Python applications to enhance penetration testing efficiency and address emerging security threats.
Research and implement AI/ML driven automation and prompt engineering for security use cases including leveraging large language models (LLMs) for penetration testing and security operations.
Proven experience in penetration testing, ethical hacking, and vulnerability assessment.
Strong proficiency with penetration testing tools (Metasploit, Burp Suite, Nmap, Wireshark) and scripting/programming languages (Python, Bash, PowerShell, JAVA).
In-depth knowledge of common security frameworks and standards such as NIST and OWASP Top 10.
Work Experience Required: Not explicitly mentioned in the JD.
Deep technical expertise in security testing across diverse systems including cloud platforms (AWS, Azure, GCP) and various application environments.
Experienced in developing automation for security tasks, with hands-on skills in Python programming and AI/ML technologies applied to cybersecurity.
Capable of independently researching vulnerabilities and crafting proof-of-concept exploits or detection scripts while collaborating effectively within teams.