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We are looking for an experienced professional in query optimization for a monolithic Learning Management System (LMS) developed in PHP. The ideal candidate will have deep knowledge of relational databases, especially MySQL, and will be able to identify performance bottlenecks, propose improvements, and implement effective solutions to optimize query response times.
The LMS system is used by thousands of users simultaneously, requiring high levels of performance and stability. The professional will be responsible for reviewing existing SQL queries, proposing index restructuring, table normalization or denormalization, and collaborating with the development team to ensure best practices in data access are followed.
Additionally, the role requires performing load testing, performance monitoring, and log analysis to identify critical points. Knowledge of PHP application profiling and tools such as Xdebug, New Relic, or similar will be considered a plus.
This role is essential to ensure the scalability and efficiency of the system, directly contributing to the end-user experience and the long-term sustainability of the platform.