Software Engineer 1 - Data Platforms
About The Position
Abnormal AI’s Data Platform team designs and operates scalable storage systems, batch and stream data processing, orchestration, and other infrastructure supporting the company’s data-intensive SaaS products. The team builds and maintains core infrastructure for data-heavy workloads and provides scalable, reliable, and efficient data platforms and services to engineering and data science teams. It also creates tools that simplify operating and integrating this infrastructure. The Software Engineer I will contribute to the data platform alongside experienced engineers, taking on technical challenges and developing their skills while helping scale systems that support Abnormal AI’s growth. The role involves contributing to platform components, building tools and services for other teams, automating infrastructure and operations, and applying GenAI techniques to improve developer and operator experiences. Projects are delivered end-to-end with guidance from senior engineers.
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 Kafka, Kinesis, or Flink.
- 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 AI’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 and deliver 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.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
