Software Engineer, Abnormal Security

• 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
• 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

Desirable

• 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
• 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