Software Engineer II - Detection

Abnormal Security is looking for a Software Engineer to join the Message Security Detection team. At Abnormal Security, we are on a thrilling mission to safeguard the worlds 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 role provides the unique opportunity to be part of the customer onboarding experience, working on scaling the systems and tools that are used to successfully onboard new customers to our platform and ensure detection efficacy remains top in class.

This role will work with a Tech Lead to own the adaptation of our detection system to scale to support 10X customer growth. In addition, this role will focus on improving detection efficacy by identifying and correcting false positives (business critical emails which result in significant customer workflow disruption). The ideal candidate will have the ability to dive deep into specific customer issues, troubleshoot, and come up with simple solutions that address the customer problem as well as find ways to adapt the solution and apply it generally to overall message detection. What you will do • Understand features that distinguish safe emails from email attacks, and how our model stack enables us to catch them. • Design and implement detection systems that can scale to support 10X customer growth • Identify and resolve detection efficacy through feature engineering and rule optimizations • Automate repeatable steps and find ways to eliminate human involvement in customer onboarding • Maintain and improve data pipelines that feed our Data Science team • Write code with testability, readability, edge cases, and errors in mind biasing towards simple iterative solutions • Collaborate with Software Engineers, Customer Sales, Customer Success, Data Engineers, and Data Scientists in order 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 in Python with a particular focus on backend development • Strong ability to independently solve complex problems • Experience debugging using log analytic tools, metrics, and other signals • Proven experience translating business requirements into software requirements and delivering high quality implementations • 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 big data, statistics, and Machine Learning • Experience with Airflow, Kubernetes, Kafka, Spark, Pandas • Experience with algorithms and optimization