11 дней назад
Software Engineering Manager, Identity Protection (Cybersecurity)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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