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Staff Software Engineer - Product Security

ServiceNow · Petah Tikva

جديد
Senior 🇬🇧 English
Python Java Kubernetes LLM integration Agentic frameworks

وصف الوظيفة

About the role

ServiceNow's Product Security organisation is building a dedicated Security R&D function, a software engineering team that builds security capabilities with the same engineering rigour as the product organisation. It is a new team being set up in Petah Tikva, Israel, co-located with the AI Security Research team, reporting to the Sr. Engineering Manager, Security R&D.

Key responsibilities

  • Design and develop security tooling, automation and platform services at enterprise scale.
  • Contribute code directly into ServiceNow product engineering codebases.
  • Build AI-powered security automation by integrating in-house models and third-party services into production workflows.
  • Use the ServiceNow platform (Agent Framework runtime, ACL enforcement, data layer, workflow engine) to build security capabilities.
  • Work with the AI Security Research team on tooling for AI agent security.
  • Partner with product engineering teams during open contribution engagements.
  • Take part in design and code reviews and help define engineering best practices as a founding team member.

Required profile

  • 8+ years of professional software engineering experience building production systems at scale.
  • Bachelor's degree in Computer Science, Engineering or a related technical field.
  • Strong hands-on experience with AI/ML pipelines, LLM integration and agentic frameworks.
  • Solid foundation in distributed systems and cloud-native architectures.
  • Interest in or exposure to security engineering concepts; deep security expertise can be developed on the team.
  • Preferred: security tooling development, Kubernetes or cloud security, SaaS/multi-tenant platform experience, and experience in a globally distributed team.

Required skills

  • Python and Java (hands-on, production code)
  • Distributed systems and cloud-native architectures
  • AI/ML pipelines, LLM integration and agentic frameworks
  • Preferred: container/Kubernetes environments, infrastructure-as-code

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Petah Tikva