Senior Software Engineer

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 tools. 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 ago, we’ve moved at lightning speed raising a Seed from CyberStarts and a Series A from Lightspeed within five months. We are a team of 30 employees, now expanding our GTM and Product teams.

Based in Sarona, Tel Aviv, we maintain a high transparency, low ego environment where individuals have the autonomy to make a massive impact on a category defining product.

About to role:

Join our founding team to build intuitive, powerful user interfaces and robust backend systems. You will be responsible for creating the platform that enables security professionals to leverage our AI-enhanced penetration testing engine effectively and efficiently.

What You’ll Do

End-to-End Development: Design and develop responsive, high-performance web applications and secure APIs/microservices.
Visualization: Build sophisticated dashboards to present complex security data and AI-driven insights clearly and intuitively.
AI Integration: Seamlessly integrate AI/ML models into user-facing applications and develop interfaces for complex security operations.
Collaborative Innovation: Work closely with Security Researchers and Product stakeholders to translate complex requirements into elegant technical solutions.
Security & Scalability: Ensure top-tier application security, performance optimization, and scalability across the entire stack.

5+ years of hands-on experience in Fullstack 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).