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Staff Security Engineer

ServiceNow·ישראל·en
לא צויןמשרה מלאהSecurity EngineeringEnterprise Software

Join a founding Security R&D team building production-grade security capabilities for enterprise software. The role combines software engineering, security automation, AI integrations, and collaboration with product and AI security teams.

תחומי אחריות

  • Design and develop security tooling, automation, and platform services at enterprise scale.
  • Contribute security capabilities directly to product engineering codebases.
  • Build AI-powered security automation by integrating internal models and third-party services into production workflows.
  • Use platform runtime, access-control, data-layer, and workflow capabilities to develop security solutions.
  • Collaborate with AI security researchers to turn research into production-grade engineering.
  • Partner with product engineering teams through code contributions, design reviews, code reviews, and architecture discussions.
  • Establish engineering practices, technical standards, and team foundations as a founding member.
  • Support hiring and onboarding as the team grows.
  • Track emerging AI/ML technologies and security threats to inform the team roadmap.

דרישות

  • At least 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 production experience with Python and Java.
  • Knowledge of distributed systems, cloud-native architectures, scalability, reliability, and performance engineering.
  • Experience contributing to shared codebases in collaborative engineering environments.
  • Interest in security engineering, including application security, infrastructure security, identity systems, or trust and safety.
  • Curiosity about AI/ML and emerging AI technologies.

יתרון

  • Experience developing security tooling, SSDLC automation, or product security features.
  • Familiarity with containers, Kubernetes, cloud security, or infrastructure as code.
  • Exposure to AI/ML pipelines, LLM integrations, or agentic frameworks.
  • Experience with SaaS or platform companies building multi-tenant enterprise software.
  • Experience working in globally distributed engineering teams.

רלוונטיות

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