Senior Software Development Engineer in Test

Join Sony Interactive Entertainment LLC as a Senior Software Development Engineer in Test. In this role, you will design, develop, and maintain automated testing frameworks and tools for PlayStation console and platform applications. You will work with both internal and external Python-based technologies. A Master's degree in Computer Science, Computer Engineering, or a related field is required, along with two years of experience in containerizing ML services and exploring Kubernetes-based deployments. Telecommuting and/or working from home may be permissible.

• Design, develop, and maintain automated testing frameworks and tools for PlayStation console and platform applications.
• Implement cloud-based ML infrastructure and monitoring solutions to improve system reliability and availability.
• Develop and maintain automated validation scripts using Python and PyTest to test data preprocessing pipelines, model outputs, and performance metrics.

• Master’s degree in Computer Science, Computer Engineering, or related field or equivalent, and two (2) years of experience in containerizing ML services and exploring Kubernetes-based deployments to support scalable service infrastructure; leveraging Amazon Web Services (AWS) technologies, including EC2, S3, and Lambda, to support model training, storage, and deployment workflows; implementing cloud-based ML infrastructure and monitoring solutions to improve system reliability and availability; utilizing Python and ML libraries including Scikitlearn and Pandas to build predictive models, perform data preprocessing and feature engineering, and generate analytical insights; applying supervised learning, anomaly detection, and optimization algorithms to support system tuning and predictive analytics; creating real-time ROI and analytics dashboards using Tableau to support data-driven decision-making; developing and maintaining automated validation scripts using Python and PyTest to test data preprocessing pipelines, model outputs, and performance metrics, ensuring model accuracy and reliability prior to deployment; integrating automated model validation checks into CI/CD pipelines to enable continuous regression testing of ML workflows; and designing test scenarios and validation frameworks to verify end-to-end functionality of ML-powered pricing tools, including API validation and business logic verification across web-based interfaces
• Telecommuting and/or working from home may be permissible pursuant to company policies