Teams at SAFE Security

Research vulnerabilities and exploits by analyzing intelligence feeds, identifying CVEs with public proofs of concept, building vulnerable labs, testing and porting exploits to Metasploit or Nuclei, and contributing to open-source frameworks. The role also involves tracking emerging attacks, applying LLMs to vulnerability research, and collaborating with threat research and program management teams.

Research newly disclosed and actively exploited vulnerabilities, analyze affected products and trigger conditions, build lab-based proofs of concept and SAFE Query Language detections, coordinate exploit development, identify compensating controls, and monitor emerging threats. The role requires CTF experience, LLM-assisted vulnerability research, security tooling expertise, and contributions to open-source tools, CVE advisories, or published research.

Build production-grade AI agents, automation, and platform capabilities that improve engineering throughput. Identify lifecycle bottlenecks, redesign workflows, integrate AI into development, review, testing, CI, incidents, and operations, and establish security and quality guardrails. Measure improvements in cycle time, deployment frequency, defect rates, and operational toil. The role requires strong software engineering, distributed systems, cloud, CI/CD, LLM, quantitative analysis, communication, cross-team influence, and mentoring skills.