About the role

Role Overview

Software Engineer (Data Platform) on the Data Platform team at Abnormal Security. You will design and operate scalable storage systems, build batch and stream data processing pipelines, and help orchestrate data workflows.

Key Missions

Contribute to the design, development, and operation of Abnormal’s data platform components.
Build tools and services that enable other teams to adopt and scale data systems.
Help automate infrastructure and operations to improve reliability, performance, and scalability.

Responsibilities

Develop and operate data platform services (storage, processing, orchestration).
Collaborate with experienced engineers on ambitious platform projects.
Improve reliability and scalability through engineering and automation.

Requirements

Solid programming skills in Python, Go, or a similar language.
Strong software engineering fundamentals (data structures, clean code, testing, debugging).
1+ years of professional experience in software engineering (backend/distributed systems/infrastructure preferred).
Ability to work independently and in a team with strong communication skills.
Interest in learning AWS and Databricks, plus data technologies (databases, streaming, orchestration).

Nice-to-haves

Experience with one or more: PostgreSQL, OpenSearch/Elasticsearch, Redis, RocksDB.
Familiarity with cloud platforms (AWS, GCP, Azure).
Exposure to large-scale or data-intensive systems.

About Abnormal Security

Abnormal Security (Abnormal AI) is a company focused on combating cybercrime. It builds security products and platforms that help protect organizations against online threats, leveraging data-heavy engineering to detect and respond to malicious activity.

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