Engineering Manager, Back End - Fintech (Bangkok based, relocation provided)

About Agoda

At Agoda, we bridge the world through travel. Our story began in 2005 when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings (NASDAQ: BKNG), with a diverse team of over 7,000 people from 90 countries working together in offices around the globe. Every day we connect people to destinations and experiences across our millions of hotels and holiday properties, flights, and experiences worldwide.

Data Department

The Data department oversees all of Agoda’s data‑related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire bright minds from around the world to support senior growth and success within a culture of diversity and experimentation. The team plays a critical role, empowering business users, product managers, engineers, and others to make data‑driven decisions while improving search experience and protecting customers from fraud.

Role Overview

As an Engineering Manager, Backend/Data at Agoda, you will lead a team of talented engineers in building and scaling robust backend and data platforms that power critical products and services. This role involves designing distributed systems, data pipelines, and high‑throughput, low‑latency services, ensuring reliability, scalability, security, and operational excellence. You will also work on fintech‑related platforms and transaction‑heavy systems such as payments, financial operations, and other business‑critical flows requiring accuracy, resilience, and performance.

Responsibilities

• Lead a high‑performing engineering team while staying hands‑on with coding, code reviews, and technical guidance.
• Coach engineers through technical problem‑solving, design discussions, and day‑to‑day development.
• Architect scalable, reliable, and maintainable systems in a high‑traffic, data‑intensive environment.
• Drive engineering across backend services, infrastructure, performance, data, client‑facing systems, and fintech‑related platform capabilities.
• Own production systems, including operational health, scalability, reliability, maintainability, and security.
• Shape engineering best practices across software design, architecture, testing, system operations, and secure engineering.
• Develop people through mentoring, feedback, and career growth support.
• Hire and scale strong engineering talent.
• Partner with cross‑functional stakeholders to deliver impactful business, product, and platform outcomes.
• Use data‑driven decision making to improve team effectiveness and delivery.

Requirements

• Strong hands‑on coding ability in at least one language such as Java, Scala, or C#.
• Experience in systems architecture and scalable, fault‑tolerant distributed systems.
• Experience as a system owner with operational responsibility for production services.
• Knowledge of lower‑level engineering concepts such as garbage collection, threading, and context switching.
• Exposure to automation, CI/CD, and Agile/Scrum within a DevOps culture.
• Good understanding of application security and secure engineering practices.
• Leadership of engineering teams with 5+ direct reports and a track record of building and developing talent.
• Strong communication and stakeholder management skills, operating with ownership and autonomy.
• Practice data‑driven decision making in delivery and engineering management.
• Ability to operate effectively in environments involving transaction‑heavy, reliability‑sensitive, or fintech‑related systems.

Nice to Have

• Proficiency in more than one programming language.
• Experience with large‑scale distributed systems in high‑growth or high‑traffic environments.
• Exposure to travel tech, e‑commerce, marketplace, or fintech platforms.
• Understanding of data engineering or machine learning team environments.
• Prior experience hiring and scaling teams rapidly.
• Experience working on payments, financial systems, or other transaction‑focused platforms.

Hiring Process

Please review our Hiring Process Guidelines before your interview.

Equal Opportunity Employer

At Agoda, we pride ourselves on being a company that represents people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.