Назад
11 дней назад

Software Engineering Manager, Identity Protection (Cybersecurity)

Формат работы
remote (только Romania)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Romania
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Software Engineering Manager, Identity Protection (Cybersecurity): Building globally distributed, fault-tolerant identity threat detection systems that analyze billions of authentication events across hybrid and multi-cloud environments with an accent on real-time Kafka pipelines, behavioral anomaly detection, and cloud-native microservices. Focus on designing detection engines, integrating ML and LLM-based reasoning, and operating high-scale production systems with sub-second latency.

Location: Remote from Romania, Bucharest

Company

CrowdStrike is a cybersecurity company building an AI-native platform that protects organizations from breaches and processes large-scale security telemetry.

What you will do

  • Build globally distributed, fault-tolerant identity threat detection systems for Active Directory attacks, credential theft, and lateral movement across Azure/Entra, Okta, and AWS environments.
  • Design real-time detection rules and high-throughput Kafka pipelines with sub-second detection latency.
  • Develop a pluggable detection engine and rule framework that transforms authentication telemetry into enriched customer-facing alerts.
  • Build machine-learning, behavioral-anomaly, and LLM-based detection capabilities, including AI-driven severity scoring.
  • Translate security research into production detections and collaborate with security researchers.
  • Own production detections, including observability, latency SLOs, feature-flagged customer rollouts, and incident response.

Requirements

  • Mastery of Python, including data structures, algorithms, and distributed systems; Go experience is strongly valued.
  • 6+ years of experience building backend or distributed systems at scale.
  • Hands-on experience with event streaming or message-queue architectures such as Kafka and distributed data processing.
  • Experience with PostgreSQL, MongoDB, Redis, or comparable relational, document, and caching systems.
  • Working knowledge of Python, Go, Java, Kafka, PostgreSQL, MongoDB, Redis, Protobuf/gRPC, GraphQL, AWS, and LLM or GenAI tooling.
  • BS or MS in Computer Science or a related engineering discipline.

Nice to have

  • Security or detection engineering background.
  • Experience with machine learning for anomaly detection.
  • Applied LLM or GenAI experience and the use of AI to improve decision-making, workflows, efficiency, and business outcomes.

Culture & Benefits

  • Flexible work environment with autonomy and an AI-first approach to experimentation and innovation.
  • Market-leading compensation and equity awards.
  • Physical and mental wellness programs, competitive vacation, and holidays.
  • Paid parental and adoption leave.
  • Professional development opportunities, employee networks, neighborhood groups, and volunteer programs.
  • Office culture with world-class amenities and equal employment opportunities.

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