Software Engineer II - Compromise & Fraud Protection

Design and develop large scale distributed software services and solutions. Designs and maintains assigned data tools that are used to transform, manage, and access data, scaling with efficiency and reduced time to new data insights. Deliver novel and innovative features for detecting and blocking accounts, applications and other entities indulging in fraudulent activities towards our users and services. Building and leveraging reputation models for entities. Opportunity to design and integrate machine learning models in production systems to identify and block abuse patterns to deliver real-time and near-real time protection. Adhere to and drive modern software engineering practices through design reviews. System design through well-defined interfaces across multiple components, code reviews, leveraging data/telemetry to make decisions. Develop “best-in-class” engineering for our services by ensuring that the services and the components are well-defined and modularized, secure, reliable, diagnosable, actively monitored and reusable. Focus on customer/partner needs through a data driven approach. Improve test coverage for services, organize and implement integration tests, and resolve problem areas. Troubleshoot and optimize automation, reliability and monitoring for LiveSite. Debug issues in production and respond to them quickly to mitigate customer impact. Embody our culture and values Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. These requirements include but are not limited to the following specialized security screenings: Master's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 4+ years of experience in data analysis in systems including, but not limited to security data management, logging, or monitoring solutions. 4+ years of cloud service experience including, but not limited to Azure, GCP, and AWS. 4+ years of experience building software systems, with a focus on large-scale, distributed platforms. 4+ years' experience working with high-scale, mission-critical SaaS products, including service operations. Proven ability to guide and mentor engineers, leading their projects to completion. Knowledge of data processing frameworks such as Spark, Hadoop, or similar technologies. Experience with security data management, logging, or monitoring solutions.