Senior Software Engineer, Abnormal Security

• Strong Programming Skills: 5+ years of expertise in one or more relevant languages like Python, Java, Go, or Scala focused on building scalable, maintainable, and robust systems
• Distributed Systems Design and Implementation: Deep understanding and experience with building and operating highly available, scalable, and fault-tolerant distributed systems. This includes concepts like microservices, message queues (Kafka, RabbitMQ), distributed databases, caching, and load balancing
• Database Management: Proficiency with various database technologies (SQL, NoSQL) for efficient data storage, retrieval, and management, especially in a distributed context
• Problem-Solving & Analytical Thinking: The ability to break down complex problems, identify root causes, and devise creative and effective solutions, particularly when dealing with intricate efficacy issues
• Proactive & Ownership Mindset: Taking initiative, owning projects from conception to deployment, and being accountable for their success
• Collaboration & Communication: Excellent communication skills (written and verbal) to effectively collaborate with ML Engineers, Data Scientists, Product Managers, and other stakeholders. This includes explaining complex technical concepts to non-technical audiences
• B.Sc Degree (or higher): Computer Science, Software Engineering, Information Systems or other related engineering field

Desirable

• As a Senior Software Engineer on our team, you'll be at the forefront of building automated systems and tools that deliver world-class detection efficacy for every customer, in every region
• You'll design, implement, and maintain scalable, efficient systems that enable precise diagnosis and treatment of efficacy issues, both for our core detection rules and at a granular, per-customer level
• A key part of your role will involve developing frameworks to identify, diagnose, and correct efficacy performance problems across all customer accounts
• Your work will directly contribute to creating automated solutions for resolving misclassifications and building systems that can automatically identify and disable detectors that no longer provide value
• Ultimately, your contributions will be crucial in enabling per-customer guarantees on detection efficacy for both recall and precision, directly impacting the success of our customers and the company as a whole
• You'll collaborate closely with ML Engineers, Data Scientists, and fellow Software Engineers to achieve these critical goals
• Design and implement automated systems for diagnosing and treating efficacy issues, both for core detection rules and at a per-customer level
• Develop frameworks and tools to identify, diagnose, and correct efficacy performance issues across all customer accounts
• Build scalable systems for efficient misclassification resolution, applicable to both general rules and individual customer configurations
• Create automated mechanisms to identify and disable detectors that are no longer cost-effective or have degraded in value
• Establish and enable per-customer guarantees on detection efficacy for recall and precision
• Develop tools and mechanisms that provide deep insight into per-customer detection efficacy and generate actionable steps to maintain high performance
• Ensure the scalability and extensibility of our efficacy automation infrastructure to support an increasing number of customers, diverse data, and evolving detection strategies
• Write code with testability, readability, edge cases, and errors in mind, biasing towards simple, iterative solutions
• Write and review technical design documents for new systems and features
• Participate in sprint planning, code reviews, standups, and other aspects of the software development life cycle