Description
The role designs and develops core infrastructure software for intelligent data platforms, including storage, data management, caching, metadata services, and distributed systems. It focuses on high-performance, scalable, reliable software in C, C++, and Python, with work on data movement, replication, protection, lifecycle management, AI/ML pipelines, LLM training and inference, and RAG workloads. The position also involves system optimization, automated testing, observability, reliability frameworks, architecture and code reviews, and collaboration with hardware, platform, networking, and cloud engineering teams. A bachelor's or master's degree in a relevant computer or engineering field and at least 12 years of systems software, operating systems, storage platforms, or distributed infrastructure experience are required.
