Senior Software Engineer (Backend) - Flights Post-booking

About Wego:

We’re on a mission to help people discover the real value of travel — to inspire, to give more reasons, to make it easy — for you to travel. Our company was founded back in 2005, and since then, we’ve imagined and created some of the most well-loved products for travellers all around 1the world.

Today, Wego is the number 1 travel metasearch engine in the Middle East. There are millions of users on Wego every month — people who travel for adventure, for work, for family and for many other reasons. That’s why we work tirelessly to make your experience of planning & booking flights, hotels and trips as seamless as possible.

About the Job:

We are seeking a seasoned Senior Backend Engineer to join our Flights Online Travel Agency (OTA) team. You will play a critical role in the Post-Booking and Customer Experience subteam—an integral part of the Flights OTA group—dedicated to enhancing the customer’s journey after a booking is made. This includes building systems that support seamless customer experiences and empower our customer service operations.

While the broader Flights OTA team focuses on areas such as fare display, pricing, offer integration and bookings, your work will be entirely centered on the post-booking domain—ensuring reliability, flexibility, and a frictionless experience for travelers once their purchase is complete.

The Senior Backend Engineer will be tasked with the design, implementation, and maintenance of backend services. They will contribute to the technical development of the team by remaining abreast of industry standards. Collaboration with international cross-functional teams is required for feature delivery.

Key Responsibilities

• Design, develop, and maintain scalable backend services and APIs.
• Participate in system architecture discussions to design efficient, maintainable,

and future-proof services.

• Write clean, maintainable, and efficient code while adhering to industry best

practices and internal standards.

• Collaborate with Product, UX, and Data teams to understand requirements and

deliver effective technical solutions across the entire customer journey.

• Improve code quality by implementing unit tests, automation, and conducting

thorough code reviews.

• Optimize backend systems for performance, scalability, and reliability to handle

the demands of a global customer base.

• Debug and resolve production issues quickly to minimize the impact on users

and ensure high availability.

• Stay current with emerging technologies and propose innovative solutions to

enhance systems and processes.

• Create and maintain documentation such as RFC’s to improve communication

across the organization.

Technical Qualifications:

• 5+ years of experience in backend software engineering, including hands-on

coding and system design.

• Proficiency in Java or a similar backend programming language.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and container

technologies (e.g., Docker, Kubernetes).

• Strong knowledge of relational databases (e.g., PostgreSQL, MySQL) and

database optimization techniques.

• Familiarity with caching technologies (e.g., Redis, Memcached) to optimize

system performance.

• Strong understanding of system architecture, scalability, and reliability best

practices.

• Experience with CI/CD practices and automated pipelines.
• Solid troubleshooting and debugging skills for production systems.
• Familiarity with monitoring and observability tools (e.g., Datadog, Prometheus,

Grafana).

In addition, our ideal candidates are expected to:

• Maintain rigorous standards for both personal and team performance,

encompassing engineering and communication disciplines.

• Proactively identify areas for enhancement across all operational domains.
• Possess advanced proficiency in both written and spoken English to facilitate

effective collaboration with international teams and departments.

• Effectively manage complex and extensive project scopes, focusing on

comprehensive product delivery rather than isolated feature implementation.

• Demonstrate robust ownership of product development and issue resolution,

coupled with the ability to self-resolve obstacles through proactive

communication.

• Integrate artificial intelligence into daily workflows and exhibit efficiency in

leveraging its capabilities.