Job Description

Responsibilities : Performance engineering of different console games. This includes coming up with a test design, game play driven scenarios and evaluating actual game logs to come up with an accurate representation of load to create and setting up complex distributed test environment to run tests and create load. Create and improve test code in C++ to support applications and features Build tests and provide accurate analysis and reporting of test results Analyze and troubleshoot system and network issues relating to performance and test automation processes Troubleshooting the issues identified during testing isolate test issues vs system component issues. Collaboration with cross functional teams to track and resolve issues. Communicate test status and results to partners Work cross teams to identify, determine important metrics and setup performance benchmarks Design, develop, and run experiments to gauge effectiveness of benchmarks Analyze the complex technical architecture across EA s platform and infrastructure lead the assessment of failures and determine root causes and create fixes Coordinate with corporate communications and customer experience to listen to our players everywhere including social media, email, chat and phone May work on design and implementation of tools to automate the process and support CI activities. May work on Player Reliability metrics collection, analysis, Tools for mining the data and presenting in meaningful dashboards May work on crash data analysis tools and enhance features in the crash analytic software. Qualification : Bachelor s degree in Computer Science or higher 1+ years of relative experience Expertise in object-oriented design/programming, programming expertise in either C/C++, C#, Java/Python/JavaScript frameworks like React.js Familiar with cloud technologies like AWS, Azure . Understand and working experience with DevOps tools such as Docker. Knowledgeable in scalable platform architecture, end-to-end systems design and architecture Familiarity with visualisation tools and database technologies, familiarity with analytic techniques such as predictive modelling and data visualizations Understanding of the realities of working with large, rich datasets and complex distributed client/server systems

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