About the Role

Abnormal AI is looking for a Software Backend Engineer II to join the Detection Team. The Detection Division is focused on building the world’s most advanced technology for identifying and stopping email and cloud-based attacks that were previously undetectable, helping make the world a safer place. As a Software Engineer focused on building systems for Detection’s Model Platform, you will be responsible for making feature development at Abnormal a fast, responsive, stable, and confident experience for our ML and Data Science teams. The ideal candidate brings a first-principles approach to building scalable, customer-centric solutions, an ownership-oriented mindset, and the ability to iterate quickly and autonomously on novel problems.

What you will do

• Leverage industry-standard AI tools to 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 and 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

Must Haves

• 4+ years of experience as a Software Engineer or in a similar role, with hands-on experience in building data-focused solutions
• Proficiency leveraging AI tools to accelerate engineering outcomes through the discovery, design, implementation, and rollout of software systems
• Experience 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, with the capacity to break down complex challenges and balance immediate needs with long-term scalability
• Growth-driven with a desire to increase impact and 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

Nice to Have

• Familiarity with our stack (AWS, K8s, Python/Django, Golang, Postgres)
• Experience building scalable, enterprise-grade applications
• Experience with web security (e.g., OWASP top 10)
• Familiarity with AI development tools such as Cursor, GitHub Copilot, or Claude

#LI-PP1