zihanyan
Software Engineer
I’m a Software Engineer with 3.5+ years of experience in cloud infrastructure, distributed systems, and automation at Microsoft Azure Storage. I focus on building reliable, large‑scale backend systems with Python and Rust, and I’m now actively transitioning into AI Engineering.
I’m passionate about LLM applications, RAG, AI agents, cloud‑native AI, and MLOps. I’m looking for a full‑time AI Engineer / Machine Learning Engineer / LLM Application Engineer role where I can design, implement, and scale AI‑powered systems.
Experience: No experience
Yearly salary: $14,000
Hourly rate: $70
Nationality: 🇨🇳 China
Residency: 🇨🇳 China
Experience
SOFTWARE ENGINEER Azure Storage
Microsoft Asia Pacific Technology Ltd 2022 - 2026
Azure Container Storage (Acstor) Participated in core function verification and quality platform development, and maintained verification tools and automation frameworks. Designed and implemented a large-scale scenario validation system based on Kubernetes and AKS, building hundreds of functional and fault test scenarios covering Azure Disk, SAN, local NVMe, and persistent volume lifecycle, supporting NVIDIA and other key customer scenarios. Identified new-version defects and cluster anomalies quickly via automation, driving root-cause fixes and architecture optimization to improve service stability. Optimized verification processes and maintained test cases to support reliability and production quality for large-scale AKS clusters. Azure Storage Blob GC (Garbage Collection) Extended the GC verification framework to cover diverse account configurations and Blob write/delete patterns, closing test gaps. Built GC stress test scenarios for OpenAI workloads, validating stability and performance under high concurrency and large data volumes. Set up weekly ICM automated alerts for GC issues and developed a dashboard to visualize execution status and errors, improving troubleshooting efficiency.
Skills
cloud-engineer
kubernetes
python
rust
ai
chinese-mandarin