Agoda is hiring a Lead DevOps Engineer (IC5) for its Data department in Bangkok, Thailand, with relocation provided. The role defines the vision, architecture, and multi-year technical roadmap for DevOps, automation, and platform engineering across hybrid multi-cloud and on-premises infrastructure, partnering with engineering directors, principal architects, and QA leads. Responsibilities include leading SRE and GitOps adoption, designing CI/CD and automation frameworks, resolving high-severity incidents in distributed data pipelines, mentoring engineers, and evaluating emerging platform technologies. Candidates need advanced software engineering skills, deep distributed systems expertise, and proven leadership in large-scale infrastructure initiatives.
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Agoda is hiring a Data Analyst to join the Global Service Verticals (GSV) Data Analytics team in Bangkok. The role delivers action-oriented analyses and recommendations to stakeholders, owning analytical projects from problem definition through data extraction, statistical analysis, and communicating findings to operational, marketing, product, and partner services teams. Typical projects include predictive modeling, customer segmentation, and dashboard design. The position is open to freshers up to four years of relevant experience. Candidates need a relevant bachelor's degree, SQL proficiency, expert Excel skills, strong problem-solving ability, business sense, and fluent English. Experience with R or Python and visualization tools such as Tableau is a plus. Relocation support is provided for international hires.
Capco is seeking a governance-focused Data Architect to design, develop, and evolve BankX's enterprise data architecture. The role covers logical and physical data modeling, architecture standards, semantic layers, data marts, feature stores, and alignment of batch, streaming, and real-time data flows. The architect will work with data engineers, data scientists, AI/ML engineers, business stakeholders, and governance and privacy teams. Responsibilities include pipeline implementation using Azure Data Services, Databricks, and Delta Lake, storage and performance optimization, metadata integration, and policy enforcement. Candidates need at least six years in data architecture, data engineering, or related roles, strong data modeling, SQL, and distributed data systems skills, and intermediate or better Thai and English proficiency.
The role designs, builds, and operates Go-based platform software on Kubernetes for Agoda's Fleet Services platform. The engineer will own platform components through delivery and production, including controllers, automation, and GitOps, while collaborating with InfraOps and platform users to make changes safe and easy to use. At senior level, the position includes leading component design, mentoring engineers, and carrying production ownership without day-to-day direction. The successful candidate needs production software engineering experience, Go or a similar systems language, practical Kubernetes experience, Linux, testing practices, and observability knowledge across metrics, logs, and alerts. Clear written and spoken English is required, including for design notes, reviews, and cross-team discussions. Experience with coding agents is also requested or the ability to adopt that workflow quickly.
Agoda is hiring a Backend Engineer Manager to lead one or more engineering teams within its Back End Engineering department in Bangkok, with relocation support and visa sponsorship provided. The role combines hands-on technical work—writing and reviewing code, coaching engineers, and shaping system architecture—with people leadership, including developing engineers and hiring A-players. Systems are built using Scala, Go, Kafka, and Aerospike, supporting inventory, pricing, payments, and booking flows with dozens of releases per day. The role requires strong proficiency in at least one of Java, Scala, or C#, experience designing complex scalable distributed systems, prior management of engineering teams with 5+ direct reports, and a background in agile, CI/CD-driven environments. Candidates should be comfortable making data-driven decisions, setting KPIs, and owning systems operationally.
Shopee is hiring an AI Operations & Execution Specialist for SPX Express in Bangkok, embedded within logistics operations to deploy and integrate the AI Roadmap. The role builds, wires, and maintains multi-agent AI systems, partners with operations teams to define problems, measure impact and drive adoption, and maintains traceability of AI-assisted decisions. The specialist sets guardrails for automated recommendations and communicates progress and risks to leadership. Requirements include a degree in Computer Science, Data Science, Industrial Engineering, Supply Chain Management, Information Systems or a related quantitative field, with 1–5 years in operations analytics, logistics, supply chain or data/product roles. Candidates need advanced SQL and Python, experience with modern Agentic/LLM frameworks, dashboards and structured data, and exposure to ML or automation projects.
Agoda is hiring a Staff Backend Engineer to join its Backend Engineering team in Bangkok, which builds high-scale, fault-tolerant distributed systems powering a global travel platform across inventory, pricing, booking, payments, and customer/partner platforms. The role owns the design and reliability of a critical service or domain end-to-end, combining hands-on coding, system design, and technical ownership, and is accountable for outcomes within the service. The position requires 8–12 years of backend engineering experience with strong distributed systems expertise and proficiency in Java, Kotlin, Scala, or Go. The engineer is expected to make independent architectural decisions, mentor team members, partner with product and business stakeholders, and drive production reliability improvements.
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.
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.
Senior individual contributor role leading the design and improvement of machine learning-powered solutions in a production environment. The position focuses on complex user-facing AI systems, driving experimentation and model improvement, and collaborating with cross-functional teams to turn ambiguous problems into scalable solutions. The role requires proven experience as a Staff Data Scientist, Applied Scientist, or ML Engineer with end-to-end ownership of ML or LLM initiatives. Candidates need strong hands-on experience with ML platforms in production, solid fundamentals in machine learning and statistics, and the ability to communicate complex technical ideas to diverse stakeholders. An advanced degree in a quantitative discipline is preferred.