Software Engineer, Abnormal AI

• 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

Desirable

• 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
• 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