Staff Software Engineer

Logo of Abnormal Security

Abnormal Security

πŸ’΅ $209k-$246k
πŸ“Remote - United States

Job highlights

Summary

Join Abnormal Security as a Staff Backend Software Engineer to lead the architecture, design, and implementation of highly scalable backend services and infrastructure supporting our world-class Detection Engine.

Requirements

  • 8+ years of professional experience as a hands-on engineer building and scaling data-intensive products
  • Extensive experience with real-time, online, high-throughput & low-latency distributed systems
  • Proven ability to maintain 99.99% uptime for services handling 50k+ QPS
  • Strong track record of cross-functional collaboration and driving complex projects to completion
  • Demonstrated leadership in setting and maintaining high standards for project execution and code quality
  • Experience in fast-paced or start-up like environment
  • Experience with cloud-native architectures and microservices
  • Experience with event-driven architecture such as Kafka, Pub/Sub, etc

Responsibilities

  • Lead the architecture, design, and implementation of highly scalable backend services and infrastructure supporting our world-class Detection Engine
  • Spearhead critical projects to meet ambitious goals, such as scaling components of Detection's Scoring Pipeline by 10x while maintaining or improving performance
  • Collaborate closely with ML Engineering teams to gather requirements, provide technical leadership, and drive execution of infrastructure improvements
  • Mentor and coach junior engineers through 1-on-1s, pair programming, and high-quality code and design reviews
  • Continuously optimize system performance, reliability, and efficiency to meet growing demand and evolving threat landscape

Preferred Qualifications

  • Familiarity with ML systems/products and distributed system technologies (e.g., Python, Golang, Kafka, Redis, Docker, Kubernetes, feature serving platforms, ML training and serving infrastructures)
  • Hands-on experience optimizing high-throughput online systems
  • MS or PhD in Computer Science, Electrical Engineering, or a related field
  • Familiarity with the cybersecurity industry or fraud detection and its unique challenges

Benefits

  • Bonus
  • Restricted stock units (RSUs)

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