Offer summary

Qualifications:

Bachelor's degree in Computer Science, Electrical or Computer Engineering, or related field., At least 4 years of experience as a Software Engineer or similar role, with expertise in building data-focused solutions., Experience with large-scale distributed systems on cloud platforms like AWS, GCP, or Azure., Strong fundamentals in computer science, data structures, and performance optimization..

Key responsibilities:

Design, build, deploy, and maintain message processing infrastructure for detection systems.

Scale model serving and data processing services to handle increased traffic.

Manage real-time streaming pipelines and online feature serving services.

Collaborate with machine learning and data science teams to accelerate product delivery.

Job description

About the Role

Abnormal Security 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 Scoring Platform, you will be responsible for making scalable solutions to processing emails at 50K+ QPS.

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

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

Must Haves

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

Nice to Have

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.

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Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.

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