We are looking for a Staff Security Engineer to be a core contributor on this team.
Security R&D operates in two complementary modes: open contribution to product engineering - writing code alongside product teams where security expertise adds value - and developing its own security capabilities, including internal tooling, externally facing product features, AI-powered security automation, and third-party integrations.
This is a new team being stood up in Petah Tikva, Israel, co-located with our AI Security Research team. You will help shape the teams engineering practices and technical foundation from day one.
This role reports to the Sr. Engineering Manager, Security R&D.
What You Will Do
Build Security Capabilities:
Design and develop security tooling, automation, and platform services that operate at our enterprise scale.
Contribute code directly into our viceNow product engineering codebases, embedding security capabilities where they have the highest impact.
Build AI-powered security automation by integrating in-house models and third-party services into production workflows.
Leverage our platform - Agent Framework runtime, ACL enforcement, data layer, and workflow engine - to create security capabilities that external vendors cannot match.
Requirements: To be successful in this role, you have:
8+ years of professional software engineering experience building production systems at scale.
Bachelors degree in Computer Science, Engineering, or a related technical field.
Strong hands-on proficiency in Python and Java. You write production code daily and take pride in software craftsmanship.
Solid foundation in distributed systems, cloud-native architectures, and building services that meet enterprise requirements for scalability, reliability, and performance.
Experience working in collaborative engineering environments, contributing to shared codebases with high code quality standards.
Interest in or exposure to security engineering concepts - application security, infrastructure security, identity systems, or trust & safety. A security mindset is valued; deep security expertise can be developed on the team.
Curiosity about AI/ML and next-generation AI technologies. You dont need to be an AI expert, but you should be excited about building at the intersection of security and AI.
Preferred:
Experience with security tooling development, SSDLC automation, or building security features into a product.
Familiarity with container/Kubernetes environments, cloud security, or infrastructure-as-code.
Exposure to AI/ML pipelines, LLM integration, or agentic frameworks.
Experience in a SaaS or platform company building multi-tenant enterprise software.
Experience working in a globally distributed engineering team.
This position is open to all candidates.