Compensation Overview

About the Role

At Abnormal Security, we are on a thrilling mission to safeguard the world’s largest enterprises against a vast range of relentless email attacks. We protect our customers against adversaries who are constantly evolving their techniques and tactics to outwit and undermine the traditional approaches to Email Security. That’s what makes our novel behavioral-based approach so…Abnormal. Abnormal has constantly been named as one of the top cybersecurity startups and our behavioral AI system has helped us win various cybersecurity accolades resulting in being trusted to protect more than 15% of the Fortune 500 (and ever growing).

This position presents a unique opportunity to be a founding member on a brand new team taking on the challenge of creating, managing, and enabling the use of Threat Intelligence (TI) at Abnormal to further improve our email security capabilities.

What you will do 

• Create a system for ingesting TI data from various raw data sources and make it available for human and system consumption at scale
• Understand and identify Indicators of Compromise (IOC) from TI data and build signals that can be used to improve email detection efficacy
• Build and maintain a detection engine that can use TI and IOC data to catch attacks proactively as well as retroactively
• Build heuristic rules based on IOC data to filter attacks
• Write code with testability, readability, edge cases, and errors in mind biasing towards simple iterative solutions
• Write and review technical design documents
• Collaborate with Software Engineers, Data Engineers, and Data Scientists to implement solutions that bring value to our customers
• Participate in Sprint planning, code reviews, standups, and other aspects of the software development life cycle

Must Haves 

• 3+ years experience designing and building software applications
• Experience with large scale systems with an emphasis on data intensive applications that require high availability, throughput, and low latency
• Experience with SQL and NoSQL databases such as PostgreSQL, Redis, DynamoDB, etc…
• Experience debugging using log analytic tools, metrics, and other signals
• Proven experience translating business requirements into software requirements and delivering high quality implementations
• Strong ability to independently solve complex problems
• Ability to work effectively with cross-functional teams
• BS degree in Computer Science, Software Engineering, Information Systems or other related engineering field

Nice to Have 

• Experience with Go and Python
• Experience on greenfield projects creating systems from scratch
• Experience with big data, statistics, and Machine Learning
• Experience with Airflow, Kubernetes, Kafka, Spark, Pandas
• Experience with algorithms and optimization

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