Offensive Security Researcher - SafeBreach

Lead research in Cloud offensive techniques across AWS, Azure, and GCP: privilege escalation paths, identity abuse, metadata service attacks, lateral movement across cloud-native services. Drive offensive AI research: building adversarial techniques against AI systems and agents (prompt injection, model evasion, agent hijacking, supply-chain attacks on AI pipelines). Research in rich environments: Work across Windows, Linux, Mac, Docker, and advanced cloud environments (AWS, Azure, GCP). Research and implement a huge variety of cyber tactics (privilege escalation, defense evasion, lateral movement, OS persistence, credential access, etc) Exploit complex 1-days on apps & native OS. Innovate & Build: Work with a wide variety of technologies to simulate real-world adversarial behavior. 5+ years of security research experience Ability to handle new technological concepts Self-driven, autonomous learning abilities Knowledge in developing with Python Knowledge in offensive or red-team approach Hands-on experience in Cloud offensive (AWS, Azure, and/or GCP) Hands-on experience in Offensive AI research: attacking AI systems, AI agents, or AI-driven security controls Knowledge in exploitations and vulnerabilities - Advantage Knowledge in OS internals - Advantage knowledge in reverse engineering and development in C - Advantage Knowledge in Cloud offensive - Advantage Knowledge in AI offensive - Advantage Competitive salary and equity grants Hybrid flexibility Quarterly recharge weekends Learning & development stipend Generous paid leave policies including flexible PTO and parental leave

Lead research in Cloud offensive techniques across AWS, Azure, and GCP: privilege escalation paths, identity abuse, metadata service attacks, lateral movement across cloud-native services. Drive offensive AI research: building adversarial techniques against AI systems and agents (prompt injection, model evasion, agent hijacking, supply-chain attacks on AI pipelines). Research in rich environments: Work across Windows, Linux, Mac, Docker, and advanced cloud environments (AWS, Azure, GCP). Research and implement a huge variety of cyber tactics (privilege escalation, defense evasion, lateral movement, OS persistence, credential access, etc) Exploit complex 1-days on apps & native OS. Innovate & Build: Work with a wide variety of technologies to simulate real-world adversarial behavior. 5+ years of security research experience Ability to handle new technological concepts Self-driven, autonomous learning abilities Knowledge in developing with Python Knowledge in offensive or red-team approach Hands-on experience in Cloud offensive (AWS, Azure, and/or GCP) Hands-on experience in Offensive AI research: attacking AI systems, AI agents, or AI-driven security controls Knowledge in exploitations and vulnerabilities - Advantage Knowledge in OS internals - Advantage knowledge in reverse engineering and development in C - Advantage Knowledge in Cloud offensive - Advantage Knowledge in AI offensive - Advantage Competitive salary and equity grants Hybrid flexibility Quarterly recharge weekends Learning & development stipend Generous paid leave policies including flexible PTO and parental leave

Lead research in Cloud offensive techniques across AWS, Azure, and GCP: privilege escalation paths, identity abuse, metadata service attacks, lateral movement across cloud-native services. Drive offensive AI research: building adversarial techniques against AI systems and agents (prompt injection, model evasion, agent hijacking, supply-chain attacks on AI pipelines). Research in rich environments: Work across Windows, Linux, Mac, Docker, and advanced cloud environments (AWS, Azure, GCP). Research and implement a huge variety of cyber tactics (privilege escalation, defense evasion, lateral movement, OS persistence, credential access, etc) Exploit complex 1-days on apps & native OS. Innovate & Build: Work with a wide variety of technologies to simulate real-world adversarial behavior. 5+ years of security research experience Ability to handle new technological concepts Self-driven, autonomous learning abilities Knowledge in developing with Python Knowledge in offensive or red-team approach Hands-on experience in Cloud offensive (AWS, Azure, and/or GCP) Hands-on experience in Offensive AI research: attacking AI systems, AI agents, or AI-driven security controls Knowledge in exploitations and vulnerabilities - Advantage Knowledge in OS internals - Advantage knowledge in reverse engineering and development in C - Advantage Knowledge in Cloud offensive - Advantage Knowledge in AI offensive - Advantage Competitive salary and equity grants Hybrid flexibility Quarterly recharge weekends Learning & development stipend Generous paid leave policies including flexible PTO and parental leave