Vacation rental software for independent hosts: websites, bookings, payments
Lodgify builds a vacation rental platform on a .NET Core and SQL Server backend running on Kubernetes in GCP, with direct booking sites, calendar sync and payment collection for independent hosts. Job posts point to a platform in transition: breaking monolithic components into microservices, tightening CI/CD across multiple products, and closing production testing gaps with Cypress, Playwright and AI-assisted test tooling. Marketing hiring targets growth in Italy.
Lodgify is a Barcelona-headquartered, privately held software company founded in 2012 with 201–500 employees. It sells to independent vacation rental owners and hosts who want to run and market their properties without relying solely on third-party channels. The platform combines website building, a booking and reservation engine, calendar synchronisation, automated guest messaging, payment collection and an AI co-host. The team works in a hybrid model from Barcelona and internationally, with current hiring in Spain and the United States.
Lodgify runs on C#, .NET Core, ASP.NET Core, Entity Framework and SQL Server, deployed with Docker, Kubernetes and Helm on GCP, monitored via Datadog, New Relic and Sentry, with Jenkins and Bamboo for CI.
Yes. Hiring is accelerating and engineering leads the mix, with roles tied to microservices migration, CI/CD automation and test framework design, alongside marketing and support roles in Spain and the United States.
Lodgify is headquartered in Barcelona, Spain. It was founded in 2012, has 201–500 employees and operates in a hybrid model with staff in Barcelona and abroad.
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Lodgify'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.