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15 часов Π½Π°Π·Π°Π΄

Research Manager (Cybersecurity)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
remote (Ρ‚ΠΎΠ»ΡŒΠΊΠΎ Canada/United_states)
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
lead
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US/Canada
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

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ОписаниС вакансии

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TL;DR

Research Manager (Cybersecurity): Leading a team of security researchers to evolve an identity security platform with an accent on threat detection, behavioral analysis, and scalable engineering. Focus on translating novel research into production-ready systems and optimizing large-scale entitlement graph systems.

Location: Remote (Canada or United States)

Company

hirify.global is a global identity security leader protecting Paths to Privilege through a cybersecurity SaaS portfolio.

What you will do

  • Lead a team of researchers to identify emerging identity attack vectors and develop novel detection methodologies.
  • Design and implement advanced analytics, including rule-based systems, behavioral analysis, and ML models.
  • Expand and optimize large-scale entitlement graph systems to map privilege escalation paths.
  • Build production-grade security systems with a focus on scalability, reliability, and performance optimization.
  • Analyze large-scale customer datasets using Spark and Databricks to validate threat hypotheses.
  • Provide technical leadership, mentorship, and share research findings at industry conferences and via technical blogs.

Requirements

  • Engineering background with proven experience developing and maintaining production security systems.
  • Strong Python programming skills for large-scale data processing or equivalent AI skills.
  • Deep knowledge of adversarial tactics, techniques, and procedures (TTPs) and corresponding defensive strategies.
  • Experience leading individuals at a high individual contributor level (senior staff/principal).
  • Must be based in Canada or the United States.

Nice to have

  • Experience with Big data processing using Apache Spark or Databricks.
  • Background in security research with published findings or conference presentations.
  • Knowledge of cloud security, containerization, and modern infrastructure technologies.
  • Experience with graph databases and network analysis techniques.
  • Familiarity with machine learning applications in cybersecurity and using AI to assist with research.

Culture & Benefits

  • Culture built on flexibility, trust, and continual learning.
  • Strong commitment to diversity and inclusion.
  • Environment that recognizes growth and individual impact on success.
  • Supportive community that encourages professional development.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’