Abnormal Security is looking to solve the problem of providing fast, reliable, and secure access to massive datasets for their AI-native, data-intensive SaaS applications
Requirements
- 1+ years of professional experience in software engineering: backend, distributed systems, or infrastructure preferred
- Solid programming skills in Python, Go, or a similar language
- 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)
- Experience with one or more of: PostgreSQL, OpenSearch/Elasticsearch, Redis, RocksDB, Kafka, Spark, Airflow, DBT
- Familiarity with cloud platforms (AWS, GCP, 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
Other
- 1+ years of professional experience
- Ability to work both independently and as part of a team
- Strong communication skills
- Curiosity, problem-solving skills, and a willingness to ask questions
- Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law
