Scalable Backend Engineer for High-Performance Systems

3 days ago


Bodega, California, United States Abnormal Security Full time
About the Role

Abnormal Security is seeking an experienced Staff Backend Software Engineer to join our Detection Team. The Detection Division is at the forefront of developing cutting-edge technology to identify and thwart sophisticated email and cloud-based attacks, contributing to a safer digital world.

As a Staff Software Backend Engineer focusing on the Detection's Serving Platform, you will be instrumental in scaling and optimizing our high-throughput, low-latency scoring infrastructure to ensure a fast, responsive, stable, and reliable experience for our customers.

Key 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.
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.
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.
Compensation and Benefits

The estimated annual salary range for this position is $209,800 - $246,800 USD, with additional benefits including bonus, restricted stock units (RSUs), and other perks.



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