Staff Software Engineer - Detection Serving & Signals

Job DescriptionJob Description About the Role Abnormal Security is seeking a 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 that were previously undetectable, 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 . The ideal candidate will possess: A proven track record of scaling high-throughput, low-latency model scoring infrastructure Experience in maintaining 99.99% uptime for services handling 50k QPS A first-principles approach to architecting scalable, customer-centric solutions A passion for solving complex, real-world problems with pragmatic solutions Strong ownership mentality and impact-driven outlook on efforts and growth Ability to iterate rapidly and autonomously on novel challenges Experience with performance engineering - in identifying and resolving bottlenecks in systems and improving the performance in an iterative way 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 Continuously optimize system performance, reliability, and efficiency to meet growing demand and evolving threat landscape 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- architectures and microservices Experience with event-driven architecture such as Kafka, Pub/Sub, etc. 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 LI-ML1 At Abnormal Security certain roles are eligible for a bonus, restricted stock units (RSUs), and benefits. Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. We know that benefits are also an important piece of your total compensation package. Learn more about our Compensation and Equity Philosophy on our Benefits & Perks page. Base salary range:$209,800—$246,800 USD