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

About the role

The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.

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

Demonstrate strong hands-on coding ability in at least one language such as Java, Scala, or C#. Bring strong experience in systems architecture and scalable, fault-tolerant distributed systems. Show experience as a system owner with operational responsibility for production services. Operate effectively in a DevOps culture with exposure to automation, CI/CD, and Agile / Scrum. Maintain good understanding of application security and secure engineering practices. Lead engineering teams with 5+ direct reports and a strong track record of building and developing talent. Communicate clearly, manage stakeholders effectively, and operate with strong ownership and autonomy. Practice data-driven decision making in delivery and engineering management. Bring the ability to operate effectively in environments involving transaction-heavy, reliability-sensitive, or fintech-related systems.

Qualifications

It's Great if you have:

• Demonstrate proficiency in more than one programming language.
• Show experience with large-scale distributed systems in high-growth or high-traffic environments.
• Show exposure to travel tech, e-commerce, marketplace, or fintech platforms.
• Understand data engineering or machine learning team environments.
• Bring prior experience hiring and scaling teams rapidly.
• Have experience working on payments, financial systems, or other transaction-focused platforms.