Agoda is hiring a Staff Backend Engineer to join its IT Engineering team in Bangkok, Thailand, with relocation provided. The role owns the design, scalability, reliability, and performance of a critical backend service or domain end-to-end, combining hands-on coding with system design and technical leadership. Responsibilities include leading complex feature development, making independent architectural trade-offs, mentoring engineers, partnering with product and business stakeholders, and driving production issue resolution. The position requires 8–12 years of backend engineering experience, deep expertise in Java, Kotlin, Scala, or Go, and strong skills in distributed systems, microservices, REST APIs, SQL/NoSQL databases, and performance/scalability. Candidates should demonstrate ownership beyond assigned tasks, comfort with ambiguity, and a track record of mentoring engineers with measurable outcomes.
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A large-scale technology organisation is hiring a Lead/Staff Data Engineer to join a high-impact team at the intersection of data engineering, business analytics, ML engineering, and backend engineering. The team builds pipelines, platforms, and tools that enable Data Science and Performance Marketing teams to run experiments in production at scale. The role involves end-to-end ownership of systems that allow experiments to launch in production at pace, partnering with experienced engineers and product owners. Candidates need a Bachelor's degree in Computer Science or a related field, 6+ years of software engineering experience including 4+ years in data/ML engineering, and expert-level skills in SQL, Python3, and a JVM-based language (Java or Scala). Familiarity with machine learning concepts, statistical analysis, and modern data/ML stacks (Spark, Hadoop, S3) is required. Relocation sponsorship is provided.
Agoda is hiring a Senior/Staff MLOps Engineer to join its ML and AI Platform team in Bangkok, with relocation provided. The role focuses on designing, developing, and operating on-premises MLOps infrastructure built on self-managed Kubernetes and Kubeflow, supporting machine learning model delivery across the organization. Responsibilities include building scalable data pipelines, model training and deployment systems, monitoring tools, and collaborating with data scientists and software engineers. The role also involves mentoring junior team members, troubleshooting user issues, and staying current with MLOps trends. Candidates need 5+ years of relevant experience, strong programming skills, and hands-on Kubernetes expertise.
CP Axtra (Makro Pro) is hiring a Data Engineer to design, implement, and maintain data infrastructure and pipelines. The role focuses on building scalable data pipelines and ETL processes, optimizing data warehouses and data lakes, and ensuring data quality, consistency, and reliability across data systems. The engineer will collaborate with data scientists, analysts, and cross-functional stakeholders to meet data requirements, develop data models and schemas, implement security and access controls, optimize query performance, and evaluate new data technologies. The position also involves mentoring junior data engineers and providing technical leadership.
Makro Pro is looking for a Senior Data Engineer to design, implement, and maintain data infrastructure and pipelines. The role involves collaborating with data scientists and analysts to ensure efficient data processing and storage solutions. The candidate must have a 'get things done' mindset and provide technical leadership.
Makro Pro is looking for a Senior Data Engineer to design, implement, and maintain data infrastructure and pipelines. The role involves collaborating with data scientists and analysts to ensure efficient data processing and storage solutions. Key duties include developing scalable data pipelines and ETL processes, optimizing data storage solutions like data warehouses and lakes, and ensuring data quality and consistency. The candidate will also provide technical leadership by mentoring junior engineers and integrating new data technologies.
The role is a hands-on technical leadership position at the intersection of data engineering, business analytics, ML engineering, and backend engineering. The team builds pipelines and platforms to support Data Science and Performance Marketing teams in running production experiments at scale. The position requires end-to-end ownership of systems that enable rapid experiment launches and involves working with structured and unstructured data at massive scale.
This role involves designing, building, and improving large-scale machine learning systems for automated optimization and decision-making. The position requires a hands-on technical leader who combines software engineering fundamentals with machine learning expertise. Responsibilities include designing processing pipelines, developing production-grade systems, and taking end-to-end ownership of machine learning solutions from design through deployment and monitoring.
Agoda's Platform team is hiring a Staff Software Engineer for its Back-End Engineering department in Bangkok, Thailand, with relocation provided. The role focuses on building scalable, fault-tolerant systems and APIs that host core business logic across inventory, pricing, payments, and booking systems. The position is part of a fast-track 1-Day Interview Program scheduled for 29th October 2026, with a decision communicated within 24-48 hours. Responsibilities include owning the full product lifecycle, designing and maintaining platforms and data pipelines, boosting system performance, mentoring team members, and collaborating cross-functionally. Candidates need 8+ years of experience with performance-critical applications using Scala, Java, or Kotlin, strong RDBMS knowledge, and experience directing company-wide projects and setting technical vision.
Agoda is hiring a Staff Software Engineer for its Back-End Engineering team in Bangkok, Thailand, with relocation provided. The role focuses on designing, developing, and maintaining scalable platforms and data pipelines that serve millions of users daily, while owning the full product lifecycle from requirements through CI/CD and monitoring. The engineer will mentor team members, drive architectural decisions, and collaborate cross-functionally to improve system performance and reliability. Candidates need 8+ years of experience building performance-critical production applications using Scala, Java, Kotlin, or similar modern languages, plus strong RDBMS knowledge. The position involves directing significant company-wide projects, setting technical vision, and implementing advanced CI/CD and testing strategies. Knowledge of NoSQL, queueing systems, and the Play framework is a plus.