[Hiring] Software Engineering Manager @CrowdStrike

Role Description

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.

What You'll Do

• 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.

Tech Stack

• Python
• Go
• Java
• Kafka
• PostgreSQL
• MongoDB
• Redis
• Protobuf/gRPC
• GraphQL
• AWS
• LogScale/NG-SIEM
• LLM / GenAI tooling

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

• 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