Software Engineer II - Model Platform

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 and help 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 team.

The ideal candidate would have the following qualities

• A first principles approach to building scalable, customer-centric solutions
• A drive to solve meaningful & pragmatic problems for real-world people
• An ownership and impact oriented outlook on your efforts and growth
• An ability to iterate in real-time-solving novel problems, quickly and autonomously
• An ability to iterate in real-time - solving novel problems, quickly and autonomously

What you will do

• Leverage the 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, 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 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

Nice to Have

• 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.

Skills

Amazon Web Services (AWS), Architectural Design, Artificial Intelligence (AI), Best Practices, Building Systems, Cloud Computing, Computer Science, Data Management, Data Modeling, Data Processing, Data Science, Data Structures, Distributed Computing, Django, GCP (Good Clinical Practices), GitHub, Go Programming Language (Golang), Industry Standards, Information Technology & Information Systems, Internet/Online Service, Large-Scale Systems, Microsoft Windows Azure, Performance Tuning/Optimization, PostgreSQL, Problem Solving Skills, Programming Tools, Python Programming/Scripting Language, Scalable System Development, Software Engineering, Streaming Technology, Systems Engineering, Team Player

About the Company

Abnormal