What are some common challenges backend engineers working with Python might encounter when optimizing application performance?

Backend Engineers using Python often face challenges related to optimizing code for scalability and speed, especially as applications grow in complexity and user base. Issues like managing database queries efficiently, handling concurrency, and minimizing memory usage are common. Engineers may also need to select appropriate frameworks and tools, implement effective caching strategies, and profile bottlenecks to ensure robust performance. Regular collaboration with frontend developers and DevOps teams is crucial to identify and resolve performance issues throughout the development lifecycle.