Software Engineer I, Data Platforms

About the role

This role builds and operates core components of Abnormal's data platform, including storage systems, batch and stream processing, and internal tools that help other teams adopt and scale data systems. It suits an early-career engineer with about one or more years of professional software engineering experience, strong programming fundamentals, and an eagerness to learn.

What you'll 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 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'll need

• 1+ years of professional experience in software engineering, preferably backend, distributed systems, or infrastructure.
• Solid programming skills in Python, Go, or a similar language (school, personal, or work experience all count).
• Strong software engineering fundamentals such as data structures, clean code, testing, and debugging.
• Interest in learning about AWS, Databricks, and technologies in the 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, with strong communication skills.

Nice to have

• 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.

Benefits listed by Abnormal

• Bonus or incentive compensation may be eligible.
• Equity may be eligible.
• Comprehensive benefits package.

Tools & skills mentioned