Overview
Software Engineer I on the Data Platform team, contributing to the design, development and operation of Abnormal AI's data infrastructure that powers its data-intensive SaaS products.
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 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.
What you'll need
- 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
- 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.
Details
- Remote, USA.
- Base salary range: $122,400 to $176,000 USD.
- Bonus or incentive compensation, equity, and a comprehensive benefits package may be offered in addition to base salary.
Read the full description and apply on the company’s own careers page.