At Abnormal AI, we are on a thrilling mission to safeguard the world's largest enterprises against a vast range of relentless email and collaboration application cyber security attacks. Our relentless pursuit involves crafting an exceptional suite of products that empowers customers to seamlessly visualize, expertly control, and fearlessly combat cyber-security threats. The Inbound Data Team owns the data integrations that make critical data available to protect our customers via our Unified Account Take Over product line that goes beyond email to provide visibility into cross-platform user behavior and centralize compromised account detection and remediation across identity, collaboration, and cloud infrastructure applications. This product line is one of the biggest bets at Abnormal and will drive a significant amount of company growth over the next several years.

We’re looking to add a Backend Engineer to our team of world class engineers. The individual in this role will shape and elevate our Knowledge Base team while working closely with our customers–internal and external alike. This role straddles the line of velocity and excellence.

As a Backend Engineer of the Knowledge Base team, you will:
Own and develop data-rich, consumer-grade, user interfaces and APIs showcasing the breadth of Abnormal’s knowledge, compiled from many different sources, about a user’s normal patterns as well as those which might indicate something abnormal is going on.
Build the user interface that allows customers and internal agents to debug particular attacks
Build a framework and specification for quickly adding new data sources.
Obsessively partner with our customers to gather their feedback and quickly iterate to improve our systems - example - help resolve False Positive/False Negative or integration issues.
Create a magical work environment with colleagues and memorable interview process for candidates

4+ years of industry experience, including 2+ years as a Backend Developer building production-grade Python applications from the ground up.
Proficiency with Django or similar web frameworks, including Django ORM, Django REST Framework, and authentication mechanisms.
Familiarity with AWS services and deployment practices.
Experience with containerisation using Docker or similar technologies.
Strong understanding of database systems and SQL proficiency.

Experience with Golang

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