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Salary
≈ $51k – $92k per year (Estimated)
Location
In office (Amsterdam)
Seniority
Middle · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Oct 14, 2026.

Overview
Company
Impact
Profile match
Booking.com is an online travel platform for accommodation, flights, car rentals and attractions. Its product and technology teams in Amsterdam, Manchester and New York build travel products, from trips and attractions to advertising and financial technology. The company is headquartered in Amsterdam, Netherlands.

Join Booking.com as a Senior Enterprise Application Engineer in the Central Tech Business Unit. In this role, you will enhance and maintain enterprise applications that support the company's operations, contributing to overall efficiency and productivity. You will own solutions end-to-end, advise on business challenges, engage with stakeholders, analyze and innovate, coach and mentor colleagues, design systems, manage technical incidents, and ensure production systems best practices. Enjoy a range of benefits including health insurance, paid time off, and discounts on Booking.com products.

Missions

  • Contribuer à l'amélioration et à la maintenance des applications d'entreprise qui soutiennent les opérations de Booking.com.
  • Conseiller sur les défis commerciaux et utiliser les outils d'IA pour automatiser les flux de travail et soutenir les décisions basées sur les données.
  • Gérer les incidents techniques et résoudre les problèmes de production en atténuant l'impact sur les clients.

Profil recherché

- Business Applications Acumen: Growing understanding of Business Applications and the ability to translate business needs into technical solutions within the context of a large-scale organisation such as Booking.com

- AI Skills & Tooling (Required): Practical experience with AI technologies in a professional context, including LLM-powered applications, AI coding assistants (e.g. GitHub Copilot, Codex, Claude Code, Windsurf, Cursor, etc), AI-based search and knowledge tools (e.g. Glean), prompt/context engineering fundamentals, and the ability to evaluate, configure and integrate AI-powered SaaS solutions. Awareness of responsible AI use, data privacy, and governance frameworks is essential

- Problem-Solving & Communication: A proactive, results-driven, and analytical mindset with strong verbal and written communication skills, operating primarily within team scope with occasional cross-team interaction

- Experience in software development with proficiency in one or more coding languages such as Java, SQL, Python, or similar

- Bachelor’s Degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field; or 3-5 years of progressively responsible experience in the specialty as equivalent

- At least 3 years of engineering experience, including 2+ years of managing SaaS applications used for productivity and collaboration such as Google Workspace, Slack, Glean, Blink, JIRA, Confluence or similar applications

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