Systems Engineer for Analytics Pipeline

We are seeking a systems engineer to design and assemble a high-performance, event-driven analytics pipeline. The architecture is split into a 24/7 low-power ingestion tier (VPS Brain) and an on-demand, high-performance computational processing cluster (GPU Muscle) to maximize cost efficiency. The ideal candidate has extensive experience handling raw data nodes via low-latency protocols, building ultra-fast memory caches, managing asynchronous task queues, and working with GPU-accelerated computing engines.