Software Backend Engineer II

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 developing systems for Detection’s Signal Platform, ensuring a fast, responsive, stable, and confident experience for the ML and Data Science team. You will architect, design, build, deploy, and maintain Model Serving 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, involving feedback distillation and execution. This role demands a first-principles approach to building scalable solutions, a drive to solve real-world problems, and an ownership-oriented outlook.

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 and near 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, Information Systems or other related engineering field

Responsibilities

• Architect, design, build, deploy and maintain Model Serving 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 distilling feedback, correlating it to strategy, and executing

Preferred Qualifications

• Familiarity with our stack (AWS, K8, Python/Django, Golang, Postgres)
• Experience / passion in building scalable, enterprise-grade applications
• Experience with web security (eg. OWASP top 10)
• Familiarity with AI development tools such as Cursor, GitHub Copilot, or Claude

Benefits

• Bonus
• Restricted stock units (RSUs)