STO Express operates China's largest express and parcel delivery network, built on three integrated systems: terminal operations, inter-city transportation, and real-time information tracking. The tech stack—Prometheus, Grafana, VictoriaMetrics for observability; Kubernetes and AWS ECS for containerization; Redis for caching; Alibaba Cloud and Huawei Cloud for infrastructure—indicates heavy investment in operational visibility and scalability. Active projects centered on network optimization, franchise expansion, and cost reduction, coupled with pain points around order management and delivery quality, suggest the company is modernizing legacy logistics operations while scaling e-commerce fulfillment capabilities.
STO Express is a publicly traded logistics company founded in 1993, headquartered in Shanghai, operating one of China's national express networks. Beyond traditional parcel delivery, the company has expanded into B2C e-commerce logistics, offering warehousing, cold chain, cross-border fulfillment, customs clearance, and overseas warehouse services. The workforce exceeds 10,000 employees distributed across terminal networks, transit hubs, distribution centers, and customer-facing operations. Current hiring is concentrated in ops, support, and logistics functions, reflecting continued network buildout and service standardization across franchise locations.
Prometheus, Grafana, VictoriaMetrics, and AlertManager for metrics; Zabbix for infrastructure monitoring; Nginx and keepalived for load balancing and high availability.
Alibaba Cloud, Huawei Cloud, and AWS ECS for container orchestration; Kubernetes for container management across on-premises and cloud environments.
Sto Express Co.,Ltd.'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.