Strong fundamentals in computer science and security, with deep understanding of operating systems, networking, compilers/JVM internals, distributed systems, application security, cloud-native security, and software supply chain security, with both breadth and depth in security technologies
Expert-level Java proficiency, especially in JVM internals, ClassLoader, Java Agent, ASM, ByteBuddy, bytecode instrumentation, profiling, and performance tuning; proficient in Python or Golang as well
Proven hands-on experience with RASP, SAST, DAST, IAST, SCA, image security, and code security scanning, with the ability to independently design, integrate, and productionize security capabilities
Strong offensive and defensive security experience, with deep understanding of vulnerability root causes, exploitation techniques, detection logic, bypass methods, and remediation strategies in web, API, and microservice environments
Strong practical experience with LLMs and AI Agents, plus deep understanding of model architecture, agent design, tool invocation, context engineering, evaluation methods, and the impact of AI on both security engineering and attacker capabilities
Strong engineering and product mindset, capable of leading the design and implementation of security products, platform modules, and SDKs/Agents while balancing security effectiveness, performance overhead, integration cost, and operability
Strong ownership, communication skills, and cross-functional influence, with a proven ability to drive business teams on security governance, policy adoption, and remediation outcomes
Background from top-tier Internet companies, cloud providers, or leading cybersecurity vendors
Experience leading DevSecOps platforms, application security platforms, RASP systems, code scanning platforms, or cloud-native security platforms
Strong experience in security product development, SDK/Agent development, vulnerability research, penetration testing, red/blue team exercises, or incident response
Hands-on experience in AI + Security initiatives such as security copilots, intelligent rule generation, automated vulnerability analysis, or remediation recommendation systems