Software Engineer 1 - Data Platforms

Summary

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

Skills

• 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

Qualifications

Must Haves

• 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 Haves

• 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

Benefits

• Bonus or incentive compensation
• Equity
• A comprehensive benefits package