Software Engineer I, Data Platforms
About The Position
Abnormal AI’s Data Platform team designs and operates scalable storage systems, batch and stream data processing, orchestration, and related infrastructure for the company’s AI-native, data-intensive SaaS applications. The team builds and maintains core infrastructure for data-heavy workloads, providing scalable, reliable, and efficient data platforms and services to engineering and data science teams. It also creates tools that simplify infrastructure operations and integration. The Software Engineer I will contribute to core data platform components and tools, help automate infrastructure and operations, and apply GenAI techniques to improve developer and operator experiences. The role involves collaborating with engineering teams on scalability and reliability challenges and taking projects from start to finish with guidance from senior engineers. The position offers opportunities to learn, take ownership, and grow in a collaborative environment.
Requirements
- At least 1 year of professional software engineering experience; backend, distributed systems, or infrastructure experience is preferred.
- Solid programming skills in Python, Go, or a similar language; school, personal, or work experience counts.
- Strong software engineering fundamentals, including data structures, clean code, testing, and debugging.
- Interest in learning about AWS, Databricks, and technologies in the company’s stack, including databases, streaming, and orchestration.
- Curiosity, problem-solving skills, and willingness to ask questions.
- Ability to work independently and as part of a team, with strong communication skills.
Nice To Haves
- Experience with one or more of PostgreSQL, OpenSearch/Elasticsearch, Redis, or RocksDB.
- Familiarity with cloud platforms such as AWS, GCP, or Azure.
- Exposure to large-scale or data-intensive systems.
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.
Benefits
- The role may be eligible for bonus or incentive compensation and equity.
- Comprehensive benefits package.
- Opportunities for ownership and career growth.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
