ServiceNow

AI

StaffSoftwareEngineer-ProductSecurity

Petah Tikva, Israel FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for not-applicable candidates.

The Brief

“Staff Software Engineer - Product Security at ServiceNow. Skills: Security tooling, AI automation, Distributed systems, Python. Build Security Capabilities. Design and develop security tooling”

Industry & Context.

AI

What They're Looking For.

Must Have

8+ years of professional software engineering experience building production systems at scale, Bachelor’s degree in Computer Science, Engineering, or a related technical field, hands-on proficiency in Python and Java, 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, Curiosity about AI/ML and next-generation AI technologies

Nice to Have

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

What You'll Do.

Build Security Capabilities

Design and develop security tooling

Develop platform services

Contribute code to product engineering

Build AI-powered security automation

Integrate models and services

Leverage ServiceNow’s platform

Create security capabilities

How You'll Work.

Team & Collaboration

Collaborate Across Teams; Work closely with AI Security Research team; Partner with product engineering teams; Participate in design reviews; Participate in code reviews; Contribute to architecture discussions

Full Job Description

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. 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 ServiceNow’s product organisation. 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 ServiceNow’s AI Security Research team. You will help shape the team’s 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 ServiceNow’s enterprise scale. * Contribute code directly into ServiceNow 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. *

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