C++ Backend Engineer – Airline Pricing & Retailing (Hybrid)

1047 Amadeus S.A.S. (Nice); Villeneuve-Loubet; Hybride; EUR 70 000 - 100 000; Plein temps

Avantages offerts par ce poste

Global DNA

Hybrid working model

Learning opportunities

Diversity & Inclusion

Résumé du poste

Amadeus Airlines Solutions Engineering is seeking a C++ Software Development Engineer to build and maintain high-performance back-end components for airline pricing and retailing. You will design scalable architectures and collaborate across multi-location teams in an Agile environment, contributing to cloud-native and AI/ML powered solutions.

The role emphasizes performance, reliability, and continuous learning in a hybrid working model, with opportunities to work across Offer, Order, and

Qualifications

• Professional experience in C++ development.
• Experience in system design, database technologies, and scalable architectures.
• Understanding of SAFe Agile methodologies.
• Strong communication and collaboration in diverse teams.
• Curiosity and willingness to learn new technologies.
• Fluent in English.

Responsabilités

• Develop and maintain C++ back-end components with focus on performance, scalability.
• Design system architecture including database structures and service integrations.
• Work within SAFe Agile framework to deliver incremental value.
• Apply problem-solving skills to enhance airline pricing and retailing tools.
• Collaborate with multi-location teams to share knowledge and best practices.
• Explore cloud and AI/ML technologies to power solutions.

Connaissances

C++ development

System design

Database technologies

SAFe Agile

Communication

Description du poste

Amadeus Airlines Solutions Engineering is seeking a C++ Software Development Engineer to build and maintain high-performance back-end components for airline pricing and retailing. You will design scalable architectures and collaborate across multi-location teams in an Agile environment, contributing to cloud-native and AI/ML powered solutions.

The role emphasizes performance, reliability, and continuous learning in a hybrid working model, with opportunities to work across Offer, Order, and