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1 день назад

Applied Security Researcher (Product Engineering)

Формат работы
remote (только USA)
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Applied Security Researcher (Product Engineering) (AI-driven cybersecurity): Building and testing AI capabilities for security operations through threat-data generation, attack emulation, and repeatable automated tests with an accent on SOC workflows, threat research, and product engineering. Focus on emulating APT actors, evaluating model effectiveness, automating attack ranges with AWS, and translating security operations practices for engineering teams.

Location: Remote, United States

Company

hirify.global develops a customer-managed AI solution for sophisticated security operations centers.

What you will do

  • Work on the product AI team in a combined research and development role.
  • Build real-world use cases to test AI model effectiveness and performance.
  • Generate threat data, execute attacks, and emulate advanced persistent threat actors.
  • Write Python and shell scripts and create repeatable automated tests.
  • Influence AI engineering priorities through security data and content.
  • Test AI models and hirify.global’s capabilities for usefulness in security operations.

Requirements

  • Experience on a product engineering team building a security product.
  • Experience in security operations, threat research, and content development.
  • Expertise with cloud platforms and cybersecurity tools.
  • Development skills in Python, shell scripting, and databases or data lakes.
  • Demonstrable experience with AI/ML technologies, AI-driven development practices, and the enterprise software development lifecycle.
  • Ability to communicate security operations practices to non-security engineering teams.

Nice to have

  • Experience in a SOC, multi-tier security operations team, incident response, or outcome-driven threat research.
  • Experience deploying and customizing AI solutions in enterprise environments.
  • Experience developing enterprise security applications.
  • Experience automating attack ranges and deployments with AWS technologies.
  • Security talks, published papers, a personal GitHub profile, or open-source contributions.

Culture & Benefits

  • Remote full-time work in the United States.
  • Product-focused work combining applied security research, AI evaluation, and engineering.
  • Collaboration with security and engineering specialists to improve SOC capabilities.

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