Software Engineer II - Scoring Orchestration

Summary

Join Abnormal Security as a Software Backend Engineer II and contribute to building the world’s most advanced technology for identifying and stopping email and cloud-based attacks. As part of the Detection Team, you will focus on creating scalable solutions for the Detection’s Scoring Platform, processing emails at 50K+ QPS. You will architect, design, build, deploy, and maintain message processing infrastructure, own projects scaling model serving and data processing services, and manage real-time streaming pipelines. Collaboration with MLE and Data Science teams is crucial for accelerating product delivery. This role requires a strong background in software engineering, experience with large-scale distributed systems, and expertise in real-time data pipelines. The ideal candidate is growth-driven and possesses excellent problem-solving skills.

Requirements

• 4+ years of experience as a Software Engineer or in a similar role, with hands-on experience in building data-focused solutions
• Experience with maintaining large scale distributed systems on cloud platforms such as AWS, GCP, or Azure, including a strong grasp of best practices in cloud-based engineering
• Familiarity with maintaining real-time data pipelines or streaming services
• Experience working with distributed teams , proficient in asynchronous and written communication
• Excellent problem-solving skills and the ability to work independently in a fast-paced environment. You’re capable of breaking down complex challenges into manageable steps and iterating on solutions, balancing immediate needs with long-term scalability
• You’re growth driven & looking to increase impact & responsibility over time
• Strong fundamentals in computer science, data structures, and performance optimization
• BS degree in Computer Science, Applied Sciences, Electrical or Computer Engineering, Information Systems or other related engineering field

Responsibilities

• Architect, design, build, deploy and maintain message processing infrastructure that supports a world-class Detection Engine
• Own projects that scale our model serving and data processing services to handle 10x the traffic we serve today
• Own real-time, near real-time streaming pipelines, and online feature serving services
• Collaborate closely with MLE and Data Science teams by accelerating product delivery and providing a stable platform for detection

Preferred Qualifications

• Familiarity with our stack (AWS, K8, Python/Django, Golang, Postgres)
• Experience / passion in building scalable, enterprise-grade applications
• Familiarity with AI development tools such as Cursor, GitHub Copilot, or Claude

Benefits

• Bonus
• Restricted stock units (RSUs)