Software Engineer I, Data Platform

Role Overview

You’ll join Abnormal AI’s Data Platform team to design, build, and operate scalable data systems that power data-heavy AI workloads. The role focuses on core storage, batch/stream processing, orchestration, and developer/operational tooling.

Responsibilities

• Contribute to the design, development, and operations of core components of the data platform
• Build tools and services that help other teams adopt and scale data systems
• Automate infrastructure and operations to improve reliability, performance, and scalability
• Apply GenAI techniques to improve developer and operator experiences
• Collaborate with engineering teams to address scalability and reliability challenges
• Take end-to-end ownership of features/projects with guidance from senior engineers

Requirements

• 1+ years of professional software engineering experience (backend, distributed systems, or infrastructure preferred)
• Strong programming skills in Python, Go, or a similar language
• Solid software engineering fundamentals (data structures, clean code, testing, debugging)
• Interest in learning AWS, Databricks, and technologies in the stack (databases, streaming, orchestration)
• Curious, strong problem-solving skills; comfortable asking questions
• Ability to work independently and in a team with strong communication

Nice to Have

• Experience with PostgreSQL, OpenSearch/Elasticsearch, Redis, RocksDB
• Familiarity with cloud platforms (AWS, GCP, Azure)
• Exposure to large-scale or data-intensive systems