8-10 years of deep hands-on experience in offensive security, including manual penetration testing, red team operations, and adversary simulation
Familiarity with modern C2 frameworks (e.g., Cobalt Strike, Sliver, Havoc), exploit development, and security research
Strong expertise across the AI/ML stack, including MLOps, inference architectures, vector databases, RAG, and agentic frameworks (e.g., ReAct, Reflexion)
Experience building, deploying, and securing LLM pipelines and AI workflows in Kubernetes and/or bare-metal environments
Strong software engineering foundations with experience shipping production code in Go, Python, or Rust
Hands-on experience securing Kubernetes, containers, VMs, and CI/CD environments
Deep understanding of application security vulnerabilities, secure coding practices, and distributed system design
Demonstrated ability to lead complex, cross-functional security initiatives end-to-end
Strong communication skills with the ability to influence both engineering teams and executive stakeholders
Public contributions to offensive security or AI security research (talks, blogs, tooling, CVEs, etc.)
Experience building internal red team or adversary simulation programs
Background in high-performance computing, AI infrastructure, or cloud-native platform security
Experience designing policy-as-code frameworks at scale