Online rail and coach ticketing platform aggregating European carriers
Trainline sells rail and coach tickets online across Europe, aggregating many carriers into one booking app and web experience. Its stack spans C#/.NET, Kotlin, Swift, Ruby and TypeScript on AWS with Terraform and Spacelift, and it is now adopting Ray alongside a Python ML toolkit. Senior-heavy engineering hiring centres on journey search, carrier integrations and a next-generation infrastructure platform, with availability and reliability as recurring pressures.
Notable leadership hires: Head of Group Reporting, Product Head
Trainline is a London-headquartered public company founded in 1997 that operates an online platform for booking rail and coach travel. It brings routes, fares and journey times from rail and coach carriers across Europe and beyond into its website and mobile apps, and also distributes through B2B partner channels. Products include train and coach tickets, eTicketing, rail passes and real-time travel information. The company employs 1,001–5,000 people and is currently hiring in the United Kingdom and France.
Trainline uses C#, .NET, Kotlin, Swift, Ruby, React, TypeScript and Node.js on AWS (ECS, Lambda, DynamoDB), with Terraform, Spacelift, TeamCity, Docker, New Relic, Splunk and Elasticsearch. It is adopting Ray.
Yes. Engineering is Trainline's largest hiring area, skewed toward senior roles, with additional openings in finance, marketing, product and data across the United Kingdom and France.
Trainline's job posts point to journey search improvements, new carrier integrations, real-time timetable information, its ecommerce platform, a next-version infrastructure platform and new market launches.
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Trainline'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.