About the RoleAbnormal 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.
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