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At Abnormal Security, we are on a thrilling mission to safeguard the world's largest enterprises against a vast range of relentless email cybersecurity attacks. Our relentless pursuit involves crafting an exceptional suite of products that protect customers to fearlessly combat cybersecurity threats.
This position represents a unique opportunity to contribute significantly to our mission of providing unparalleled detection capabilities worldwide. The team's mission revolves around empowering our detection team with high-quality data and cutting-edge tools, ensuring that all misclassifications can be easily assessed and analyzed. Our strategic approach encompasses the development of essential detection tools, improved misclassification comprehension, and enhanced communication with customers.
Misclassification Analysis & Detection Enablement (MADE) - Core components the team owns include the rule-based email detection engine, analysis tools for misclassification understanding and flow comprehension, data quality for ML model analysis and training, and the backend platforms for customer interaction regarding detection concerns.
What You Will Do
- Enhance the speed and quality of detection systems development.
- Develop and maintain pipelines to process and respond to customer feedback efficiently and responsibly.
- Supply detection teams with top-notch, accurate data used for evaluating and training ML models.
- Automate backend processes to improve customer responses.
- Develop, design, modify, and test systems for enhanced data quality and understanding.
- Collaborate with Technical Program Managers, Product Managers, Data Engineers, Data Scientists, and operational and engineering teams to implement, verify, and iterate on product development.
- Exercise sound judgment in selecting methods and techniques for problem-solving.
- Write code with testability, readability, edge cases, and errors in mind.
- Write and review technical design documents.
Must Haves
- 8+ years of professional, production-level experience in backend development, showcasing a comprehensive understanding of backend technologies and systems.
- Proficient in Python or Golang, Spark, and Postgres.
- Familiarity with large-scale backend solutions or environments that involve complex integrations, demanding latency requirements, or significant throughput challenges.
- Adept at performance debugging and benchmarking to ensure efficient operation of applications.
- Proven ability to translate business requirements into detailed software requirements, effectively articulating systems design to technical and non-technical stakeholders alike.
- Experience in identifying, analyzing, and resolving complex technical issues, demonstrating a methodical approach to troubleshooting and problem-solving.
- Proven experience working effectively with cross-functional teams, demonstrating the ability to collaborate with a diverse range of stakeholders.
- Ability to lead and motivate team members, setting high standards and expectations for project execution, both for themselves and their collaborators.
- Bachelor of Science degree in Computer Science, Applied Sciences, Information Systems, or a closely related engineering field.
Nice to Have
- MS degree in Computer Science, Electrical Engineering, or another related engineering field.
- Experience with Databricks & Airflow
- Experience with algorithms and optimization.
- Familiarity with the cybersecurity industry.
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Abnormal AI is an equal opportunity employer. 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. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.
