Talents Handicap "Offres du mois"
Do you have ideas on how to improve travel for everyone? Do you find the idea of working in a diverse, multicultural environment exciting? Are you ready to make an impact across the world? Great, then join us! Let’s shape the future of travel together.
Amadeus Hotel Platform provides real-time shopping/booking services on 900,000+ hotels (over 350 hotel chains and aggregators) for travel agencies and corporate bookers located in 90,000+ points of sale around the world.
Besides this so-called distribution activity, Amadeus Hotel Platform is also providing a complete portfolio of solutions for hotel chains, enabling centralized hotel management services to the hoteliers. This includes a Central Reservation System, a Property Management System, a Call Center application, an Internet Booking Engine and a Business Intelligence module.
Core component of Amadeus Hotel Platform, the Central Reservation System, is the central point for distribution of hotel descriptive content, rooms and services to all desired channels (e.g. Amadeus GDS, Booking.com, Sabre, Travelport, Google, Expedia, etc.).
Meeting and exceeding customers’ expectations on such critical systems involves the capability to monitor and investigate system’s issues with the best possible productivity. For that several tools are currently used by Support, Production Maintenance and Development teams.
Production Maintenance team is in charge of following up incidents raised by customers, to investigate and fix defects whenever needed, in close relationship with product and account management teams.
The main goal of this apprentice period will be to:
Understand existing Production Maintenance defects investigation processes
Study existing tools and improve them to better fit users’ needs and improve their productivity.
This includes meeting end users (developers, business analysts and implementation engineers), discussing needs, defining the corresponding user stories (using JIRA), prioritizing them, implementing them, documenting them (using Confluence) and getting feedback from end users.
The current technical context is mainly php (web UI), python (back end services) and Oracle database (storage), but it can evolve towards other technologies (such as Angular.js and NoSQL for instance).
In parallel more modern ways of working will also be studied to validate, for example, if chatbots coupled with machine learning could pave the way to even better tools and more productivity.