8 Jul 2026

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

Agoda

Perth

8 Jul 2026

Apply

Agoda is seeking an Engineering Manager for its Generative AI backend engineering organization. This role involves leading backend teams, driving technical strategy, and building scalable AI-enabled platforms. The position is based in Bangkok with relocation provided, and requires strong leadership and backend engineering expertise.

AI-enabledHybridFull-timeDirectorJavaScala

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

Apply

AI-enabledHybridFull-timeDirectorJava

Salary

Not specified

Work Location

Perth, Western Australia, Australia, AU

Work Model

Hybrid

Employment Type

Full-time

Experience Level

Director

Core Qualifications

Technical (Must-have)

JavaScalaC#CI/CDDevOpsAgileDistributed SystemsSystem ArchitectureApplication SecurityConcurrencyPerformance OptimizationKubernetesMicroservicesAPIsInfrastructure as Code

Soft Skills

LeadershipCoachingMentoringCollaborationCommunicationProblem SolvingDecision MakingOwnershipData-driven

Preferred Qualifications

Technical (Nice-to-have)

Generative AICloud PlatformsObservabilityPlatform EngineeringReliability EngineeringDeveloper Experience

Key Responsibilities

•Lead the end-to-end execution of backend and platform initiatives related to Generative AI.
•Define and evolve scalable, reliable, and secure backend systems that support AI-enabled experiences and internal engineering workflows.
•Drive technical strategy, system architecture, engineering standards, and long-term platform scalability.
•Remain hands-on by writing and reviewing code, participating in technical designs, and providing expert guidance to engineers.
•Own the operational performance of services, including reliability, availability, observability, scalability, and incident management.
•Promote a strong DevOps culture through automation, continuous delivery, and effective engineering practices.
•Partner with product, infrastructure, security, data, and engineering stakeholders to deliver high-impact solutions.
•Improve engineering productivity and enable teams to adopt new technologies effectively.
•Build a culture of ownership, collaboration, innovation, and continuous improvement.
•Hire, coach, mentor, and develop engineers and emerging leaders.
•Establish clear goals and KPIs while making sound, data-driven decisions in an evolving technical landscape.

Engineering ManagerBackendGenerative AIBangkokRelocationFull-timeHybridTravel TechnologyLeadership

Core Qualifications

Technical (Must-have)

JavaScalaC#CI/CDDevOpsAgileDistributed SystemsSystem ArchitectureApplication SecurityConcurrencyPerformance OptimizationKubernetesMicroservicesAPIsInfrastructure as Code

Soft Skills

LeadershipCoachingMentoringCollaborationCommunicationProblem SolvingDecision MakingOwnershipData-driven

Key Responsibilities

•Lead the end-to-end execution of backend and platform initiatives related to Generative AI.

•Define and evolve scalable, reliable, and secure backend systems that support AI-enabled experiences and internal engineering workflows.

•Drive technical strategy, system architecture, engineering standards, and long-term platform scalability.

•Remain hands-on by writing and reviewing code, participating in technical designs, and providing expert guidance to engineers.

•Own the operational performance of services, including reliability, availability, observability, scalability, and incident management.

•Promote a strong DevOps culture through automation, continuous delivery, and effective engineering practices.

•Partner with product, infrastructure, security, data, and engineering stakeholders to deliver high-impact solutions.

•Improve engineering productivity and enable teams to adopt new technologies effectively.

•Build a culture of ownership, collaboration, innovation, and continuous improvement.

•Hire, coach, mentor, and develop engineers and emerging leaders.

•Establish clear goals and KPIs while making sound, data-driven decisions in an evolving technical landscape.