Software Engineer 1 - Data Platforms

Abnormal AI builds cloud products that help stop cybercrime, with a data platform team supporting the company’s AI-native, data-intensive SaaS applications. The role focuses on designing, building, and operating scalable data infrastructure and tools that improve reliability, performance, and usability for engineering and data science teams.

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:

• 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.
• 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

• Nice to Have (but you can also learn here)

• Experience with one or more of: Kafka, Kinesis, Flink.
• Familiarity with cloud platforms (AWS, GCP, Azure).
• Exposure to large-scale or data-intensive systems