Software Detection Engineer – Cloud, Identity Protection

CrowdStrike

Software Detection Engineer designing and implementing threat detection systems at CrowdStrike. Building scalable solutions for detecting identity threats across hybrid and multi-cloud environments.

Posted 7/17/2026full-timeTel Aviv • 🇮🇱 IsraelMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building scalable identity threat detection systems using Python and Go, with a strong focus on event-streaming architectures and machine learning for anomaly detection. Proven ability to translate security research into production-grade detections while maintaining high performance and observability in distributed systems.

Highest-signal resume keywords

Python Programming MasteryEvent-Streaming Architectures (Kafka)Machine Learning for Anomaly DetectionDistributed Systems ExperienceCloud-Native Development

ATS Keywords

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Hard Skills

Data StructuresAlgorithmsDistributed SystemsBackend DevelopmentReal-Time Detection RulesBehavioral-Anomaly ModelsAI-Driven Severity ScoringRelational Databases (PostgreSQL)Document Stores (MongoDB)Caching (Redis)

Tools & Technologies

KafkaPythonGoJavaCloud Environments (Azure, AWS)Event-Streaming Microservices

Certifications & Qualifications

BS in Computer ScienceMS in Computer Science

Industry Keywords

Identity Threat DetectionActive Directory AttacksCredential TheftLateral MovementSecurity ResearchDetection PipelineObservabilityIncident Response

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsGoJavaKafkaMicroservicesMongoDBPostgresPythonRedis

About the role

Key responsibilities & impact

You will build globally distributed, fault-tolerant, and highly scalable identity threat detection systems that analyze billions of authentication events per day to detect sophisticated Active Directory attacks, credential theft, and lateral movement across hybrid and multi-cloud (Azure/Entra, Okta, AWS) environments.
You'll design, lead, and implement the next generation of CrowdStrike's Identity Protection detection platform — evolving it from on-prem appliances toward cloud-native, event-streaming microservices.
Design and implement real-time detection rules and pipelines over high-throughput Kafka event streams, maintaining sub-second detection latency at massive scale.
Build the pluggable detection engine and rule framework that turns raw authentication telemetry into indicators, and indicators into enriched, customer-facing alerts.
Develop machine-learning and behavioral-anomaly models, and integrate LLM-based detection reasoning (e.g. AI-driven severity scoring) into production detection flows.
Translate security research into production-grade detections, partnering with security researchers who guide you on the threat landscape.
Own detections in production: observability, latency SLOs, safe per-customer rollouts (feature-flag-gated), and incident response for the detection pipeline.
Work across a polyglot stack — Python for detection logic and ML, Go for the high-performance streaming services, Java for backend alert management.

Requirements

What you’ll need

Programming mastery in Python with deep expertise in data structures, algorithms, and distributed systems (Go experience a strong plus — it's core to our next-gen services)
6+ years building backend / distributed systems at scale.
Hands-on experience with event-streaming / message-queue architectures (Kafka or similar) and distributed data processing.
Experience with relational and document stores (PostgreSQL, MongoDB) and caching (Redis).
BS or MS in Computer Science or related engineering discipline.
Bonus: security/detection background, ML for anomaly detection, or applied LLM/GenAI experience.
Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.

Benefits

Comp & perks

Market leader in compensation and equity awards
Comprehensive physical and mental wellness programs
Competitive vacation and holidays for recharge
Paid parental and adoption leaves
Professional development opportunities for all employees regardless of level or role
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
Vibrant office culture with world class amenities
Great Place to Work Certified™ across the globe