Agoda is part of Booking Holdings (NASDAQ: BKNG), a global travel platform with over 7,000 employees from 90 countries.
Backend Engineering builds high-scale, fault-tolerant distributed systems serving millions of users daily across inventory, pricing, booking, payments, and customer/partner platforms.
Responsibilities
Lead the architecture, design, and development of complex distributed systems at scale.
Own the technical direction, delivery, and evolution of critical systems and platforms.
Drive system design, API standards, software architecture, and engineering best practices across teams.
Lead complex technical initiatives involving multiple services, teams, and stakeholders.
Make key technical decisions balancing business priorities with scalability, reliability, and maintainability.
Remain an active contributor to production systems through coding, code reviews, system design, and technical problem-solving.
Mentor and coach engineers, raising technical capability, code quality, and engineering standards.
Drive continuous improvements in development processes and agile ways of working.
Lead production stability, incident management, root-cause analysis, and long-term reliability improvements.
Requirements
11+ years experience building and operating large-scale backend systems in production.
Proven experience delivering complex distributed systems at scale.
Strong expertise in Java, Scala, Kotlin, or Go.
Strong software architecture skills with a track record of driving architectural decisions.
Proven experience leading technical initiatives, projects, or engineering teams with end-to-end ownership.
Recent and ongoing hands-on coding experience in production environments.
Deep expertise in distributed systems and architecture, API design and microservices, performance, scalability, and system reliability, system design for high-throughput, highly available applications.
Nice to have
Experience building or owning large-scale platforms across multiple services or domains.
Experience designing and operating event-driven architectures using Kafka.
Experience with cloud-native architectures on AWS or GCP.
Strong understanding of CI/CD, DevOps, automation, and modern software delivery practices.
Experience driving cross-team technical initiatives, platform modernization, or large-scale migrations.
Familiarity with high-volume data systems, Spark, Hadoop, or related data platform technologies.