Software Engineer I, Data Platform

Abnormal AI is a company that provides cloud products to combat cybercrime through AI-native, data-intensive applications. They are seeking a Software Engineer I to contribute to their data platform by designing and operating scalable storage systems and building tools that enhance data system adoption and scalability.

Responsibilities:

• 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

Requirements:

• 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
• Interest in learning about AWS, Databricks, and technologies in our stack (databases, streaming, orchestration)
• Curiosity, problem-solving skills, and a willingness to ask questions
• Ability to work both independently and as part of a team, and strong communication skills
• Experience with one or more of: PostgreSQL, OpenSearch/Elasticsearch, Redis, RocksDB
• Familiarity with cloud platforms (AWS, GCP, Azure)
• Exposure to large-scale or data-intensive systems