Senior Software Engineer

Description We are a fast growing cybersecurity startup redefining how organizations defend themselves. As attackers leverage AI for high speed strikes, we provide defenders with the same capabilities. Our platform creates an AI driven Autonomous Attacker that thinks like a hacker, generating end to end attack chains across Web, Cloud, and AI applications to prioritize mitigation where it matters. Founded a year and a half ago, we’ve moved at lightning speed raising a Seed from CyberStarts and a Series A from Lightspeed. With offices in Tel Aviv and New York, we maintain a high transparency, low ego environment where exceptional individuals have the autonomy to make a massive impact on a category defining product. We are looking for a Senior Software Engineer to help build the core engine and platform behind our autonomous attacker. In this role, you will bridge the gap between cutting edge AI and advanced security operations, designing secure, high performance applications and turning complex data into intuitive product experiences. What You’ll Do Design and develop responsive, high performance web applications and secure APIs/micro services. Build sophisticated dashboards to present complex security data and AI driven insights clearly and intuitively. Seamlessly integrate AI/ML models into user-facing applications and develop interfaces for complex security operations. Work closely with Security Researchers and Product stakeholders to translate complex requirements into elegant technical solutions. Ensure top tier application security, performance optimization, and scalability across the entire stack. Requirements 5+ years of hands-on experience in Full Stack development, delivering production-grade applications. Proficiency in modern frontend frameworks (React) and backend technologies (Node.js or Python). Experience with database design/optimization (PostgreSQL,Redis) and API development (REST, GraphQL). Solid understanding of software security principles and secure coding practices. Proven track record with cloud platforms (AWS, GCP, or Azure). Preferred Qualifications Experience with real-time technologies (WebSockets) and containerization (Docker, K8s). Background in building cybersecurity tools or developer tools. Experience integrating AI/ML models into production workflows. Prior experience in elite technology units (e.g., 8200, 81).