Tell about your most complex task — technically or business-wise.

One of the most challenging tasks I faced was related to optimizing a high-load service in Go that processed millions of requests per day. The technical difficulty lay in minimizing latency and reducing memory consumption without losing reliability.

To solve this, I conducted CPU and memory profiling, identified bottlenecks in goroutine and garbage collector performance. I rewrote parts of the code using object pools and channels to reduce allocations, and also optimized data processing algorithms.

From a business perspective, the task was complex due to the need to ensure uninterrupted service operation under increasing load and limited infrastructure resources. As a result, I managed to increase performance by 30% and reduce infrastructure costs.