Jiexi Luan is a Staff Software Engineer based in the San Francisco Bay Area with 12 years of experience building scalable, production-grade systems across startups and large enterprises. At Consensys he contributes to MetaMask, and previously at Fannie Mae he architected auditable data pipelines using Lambda, Spark, Kubernetes, Terraform, and Airflow while building full-stack observability with TypeScript/GraphQL. He has led teams deploying horizontally-scaled worker-queue systems for large-scale content ingestion and created Solidity-based decentralized DNS components, showing both backend and blockchain expertise. Early work includes boosting e-commerce search performance and running multi-site POS/IOT networks, reflecting a mix of hands-on ops and software craftsmanship. Jiexi pairs strong systems programming skills (Java, Scala, Go, C) with practical product focus, favoring reproducibility and auditability in data systems. Comfortable moving between infrastructure, backend services, and frontend experiences, he brings a pragmatic, security-conscious approach to complex engineering problems.
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