Fleet management and machine guidance software for surface mining operations
Wenco builds productivity and safety software for surface mining fleets—a subsidiary of Hitachi Construction Machinery. The stack is hybrid cloud (AWS + Azure) with heavy C++ and C# backends, IoT/IIoT instrumentation (GNSS/RTK positioning), and modern observability (InfluxDB, Kubernetes). Active work on legacy monolith refactoring and autonomous haulage deployments suggests an engineering org in transition from maintenance-mode toward real-time autonomy features; marketing and support hiring alongside engineering indicates product-market maturation.
Notable leadership hires: Tech Lead
Wenco International Mining Systems, based in Richmond, BC, provides fleet management, machine guidance, and operator safety solutions for open-pit mining operations worldwide. The company operates as a subsidiary of Hitachi Construction Machinery, giving it access to parent-company research and cross-brand deployment resources. Core offerings span positioning and machine guidance, equipment health monitoring, productivity analytics, and automatic dispatch systems. Current work includes autonomous haulage system rollouts, fleet management platform development, and architectural modernization of legacy C++ codebases. The 51–200 employee org is actively hiring across engineering, marketing, and support in Canada and Australia.
Wenco's primary stack: Python, C#, C++ for backend systems; Azure DevOps and Jira for orchestration; AWS and Azure cloud infrastructure; Kubernetes for containerization; InfluxDB for time-series data; GNSS/RTK for precision positioning; iOS and Android for operator interfaces.
Fleet management system and autonomous haulage deployments; open autonomy platform; refactoring legacy C++ monolith into loosely coupled architecture; AI-assisted codebase analysis; test automation maturation.
Wenco International Mining Systems'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 →
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