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1 день назад

Security Automation Engineer (SOAR)

Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Security Automation Engineer (SOAR): Building and scaling automation across Security Operations with an accent on SIEM, EDR, and SOAR platform integration. Focus on developing AI/LLM-assisted response workflows and designing automation architecture in a greenfield environment.

Location: Must be authorized to work in Israel

Company

hirify.global is a full-stack AI cloud platform provider building infrastructure for the global AI economy, listed on Nasdaq and headquartered in Amsterdam.

What you will do

  • Design and develop automation workflows for incident response and SOC operations.
  • Develop integrations using REST APIs, webhooks, and event-driven architectures.
  • Lead the evaluation, selection, and implementation of SOAR platforms.
  • Build and evaluate AI/LLM and agent-based workflows for security automation.
  • Collaborate with SOC analysts to translate operational needs into scalable automation solutions.
  • Implement data parsing, enrichment, and transformation across security systems.

Requirements

  • Minimum 3 years of hands-on experience with SOAR platforms (e.g., Torq, Cortex XSOAR, Splunk SOAR).
  • Strong hands-on experience with Python.
  • Experience building integrations using REST APIs and web services.
  • Experience working with security tools such as SIEM, EDR/XDR, or ticketing systems.
  • Experience with at least one cloud platform (Azure, AWS, or GCP).
  • Must be authorized to work in Israel and provide proof of eligibility.

Nice to have

  • Experience with CI/CD pipelines and DevOps practices.
  • Hands-on exposure to AI/ML, LLMs, or agent-based systems.
  • Familiarity with cloud-native services and architecture.

Culture & Benefits

  • Competitive compensation package.
  • Opportunities for career growth and professional learning.
  • Focus on flexibility and work-life balance.
  • Collaborative, innovative, and international team environment.
  • Opportunity to work on impactful, cutting-edge AI projects.

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