Agoda

Lead large-scale data engineering initiatives that power ML, analytics, and experimentation at Agoda. Build reliable pipelines, platforms, and tools while providing technical leadership to a data/ML engineering team.

Staff Backend Engineer responsible for designing, building, and owning high-scale distributed systems powering Agoda’s global travel platform. The role combines hands-on coding, architecture, reliability ownership, technical leadership, and mentoring in a Bangkok-based position with relocation provided.

Own and evolve high-scale backend services powering Agoda’s global travel platform. This hands-on Staff Engineer role combines architecture, coding, reliability ownership, technical leadership, and mentoring in Bangkok, with relocation provided.

Join Agoda’s Bangkok-based Back End Engineering team as a six-month contract Software Developer, building and improving partner integrations and scalable software systems. Fresh graduates with coding experience, bootcamp training, or personal projects are welcome.

Lead backend engineering for Agoda’s scalable, fault-tolerant travel systems and APIs in Bangkok, shaping architecture and mentoring distributed engineers. The role offers relocation support, including visa sponsorship for the employee and family, housing, flights, and settling-in assistance.

Lead the vision and architecture for Agoda’s DevOps, automation, and platform engineering initiatives across multi-region hybrid infrastructure. This high-impact IC5 role drives developer productivity, release engineering, reliability, and large-scale infrastructure transformation.

Join Agoda’s Fleet Services team in Bangkok to build and operate a large-scale Kubernetes platform supporting more than 160 clusters. You’ll develop platform software in Go, own production components, and help advance automation, GitOps, and infrastructure reliability.

Lead the design and operation of Agoda’s on-premises MLOps platform, enabling data scientists and software engineers to build, train, deploy, and monitor machine learning models. The role combines ML engineering, platform infrastructure, troubleshooting, and technical mentorship.