Intelligent Data Infrastructure Engineer

Design and develop core infrastructure software for intelligent data platforms, including storage, data management, caching, metadata services, and distributed systems. Develop high-performance, reliable software in C, C++, Python with an emphasis on scalability, efficiency, and resiliency. Build and optimize data movement, replication, protection, and lifecycle management capabilities. Design infrastructure that supports AI/ML pipelines, large language model (LLM) training, inference, and retrieval-augmented generation (RAG) workloads. Collaborate with hardware, platform, networking, and cloud engineering teams to deliver end-to-end infrastructure solutions. Optimize system performance through profiling, benchmarking, and low-level software optimization. Leverage modern AI agents to improve software development, testing, debugging, documentation, and operational automation. Participate in architecture reviews, code reviews, and technical design discussions. Develop automated testing, observability, and reliability frameworks. Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field. 12+ years of experience developing systems software, operating systems, storage platforms, or distributed infrastructure. Expert-level programming skills in C/C++, Python Experience developing software on Linux. Experience with storage systems, file systems, object storage, distributed data platforms, or cloud infrastructure. Knowledge of AI infrastructure and data pipelines supporting GPU clusters and large-scale AI workloads. Experience with Rust, Go. Familiarity with Kubernetes, containers, and cloud-native architectures. Experience using AI coding assistants and autonomous AI agents (such as GitHub Copilot, OpenAI Codex, Claude Code, or similar tools) to accelerate software development, testing, and debugging. Strong systems thinking and software architecture skills. Excellent analytical and problem-solving abilities. Passion for building high-performance infrastructure software. Effective communication and collaboration skills. Ability to work across cross-functional engineering teams.