Software Engineer I, Data Platform

About the Role Enterprises of all sizes trust Abnormal AI’s cloud products to stop cybercrime. These AI-native, data-intensive SaaS applications depend on fast, reliable, and secure access to massive datasets. That’s where the Data Platform team comes in: designing and operating scalable storage systems (PostgreSQL, OpenSearch, Redis, RocksDB, DynamoDB), batch and stream data processing (Kafka, Spark), orchestration (Airflow, DBT), and more. We build and maintain the core infrastructure that powers Abnormal’s most data-heavy workloads, providing scalable, reliable, and efficient data platforms and services to all of engineering and data science. We also create tools that make this infrastructure simple to operate and integrate, enabling teams to deliver faster with confidence. We’re looking for a Software Engineer I who is eager to learn and ready to take on meaningful technical challenges. You’ll work alongside experienced engineers, contribute to ambitious projects, and grow your skills while helping to scale the systems that support Abnormal’s rapid growth. What you will do Contribute to the design, development, and operation of core components of Abnormal’s data platform. Build tools and services that make it easy for other teams to adopt and scale data systems. Help automate infrastructure and operations to improve reliability, performance, and scalability. Apply cutting-edge GenAI techniques to build smarter developer and operator experiences. Collaborate across engineering teams to solve scalability and reliability challenges. Take ownership of projects, delivering features end-to-end with guidance from senior engineers. What you bring 1+ years of professional experience in software engineering: backend, distributed systems, or infrastructure preferred. Solid programming skills in Python, Go, or a similar language (school, personal, or work experience all count). Strong software engineering fundamentals like data structures, clean code, testing, and debugging