122K–176K USD / year
Software Engineer I, Data Platforms
DataWorkplace — unknown
Published on 2026-11-13
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About this role
Develop and operate scalable data-platform infrastructure that supports Abnormal AI’s data-intensive products. Build tools and services for engineering teams, improve platform reliability and scalability, and explore GenAI-enhanced developer and operator experiences.
About the company
Abnormal Security uses AI to detect and stop email and collaboration attacks such as phishing and business email compromise. It protects enterprises against social engineering and account takeover.
The team
Data Platform team
Stack
PythonGoAWSDatabricksPostgreSQLOpenSearchElasticsearchRedis
What you'll do
- Contribute to the design, development, and operation of data-platform components
- Build tools and services that help 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 across engineering teams on scalability and reliability challenges
- Own and deliver projects end-to-end with guidance from senior engineers
What we're looking for
- At least 1 year of professional software engineering experience; backend, distributed systems, or infrastructure experience preferred
- Programming skills in Python, Go, or a similar language
- Strong fundamentals in data structures, clean code, testing, and debugging
- Interest in learning AWS, Databricks, databases, streaming, and orchestration technologies
- Curiosity, problem-solving skills, and strong communication
- Ability to work independently and collaboratively
Nice to have
- Experience with PostgreSQL, OpenSearch/Elasticsearch, Redis, or RocksDB
- Familiarity with AWS, GCP, or Azure
- Exposure to large-scale or data-intensive systems