เงื่อนไขการค้นหา

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Analytical Thinking, Recruitment, Leadership Skill, Big Data, Tableau

ประเภทงาน:

งานประจำ

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the sa ...

ทักษะ:

Full Stack, SAP

ประเภทงาน:

งานประจำ

• บริหารและพัฒนาทีม Software Development และ Full Stack Developer ตั้งแต่การวิเคราะห์ ออกแบบ พัฒนา ทดสอบ และส่งมอบระบบ ให้มีคุณภาพ ตรงตามความต้องการของธุรกิจ และเป็นไปตามเป้าหมายขององค์กร.
• กำหนด Technical Direction, Software Architecture, Coding Standard และมาตรฐานการพัฒนาระบบ เพื่อยกระดับคุณภาพของซอฟต์แวร์ รองรับการขยายตัวของธุรกิจ และสามารถบำรุงรักษาระบบได้อย่างมีประสิทธิภาพในระยะยาว.
• ประสานงานกับ PMO, Business User และหน่วยงานที่เกี่ยวข้อง เพื่อรวบรวมความต้องการทางธุ ...
• วางแผนและผลักดันการนำ Artificial Intelligence (AI), Machine Learning, Automation และเทคโนโลยีดิจิทัลสมัยใหม่มาประยุกต์ใช้ เพื่อเพิ่มประสิทธิภาพการดำเนินงาน ยกระดับกระบวนการทำงาน และสนับสนุนการเติบโตขององค์กร.
• กำกับดูแลการให้บริการและการพัฒนาระบบ SAP ในภาพรวม พร้อมประสานงานกับ Gosoft และผู้เกี่ยวข้อง ติดตามผลการให้บริการตาม Service Level Agreement (SLA) วิเคราะห์ปัญหา และสนับสนุนการแก้ไขปัญหาร่วมกับทีม SAP เพื่อให้ระบบมีเสถียรภาพและสามารถรองรับการดำเนินธุรกิจได้อย่างต่อเนื่อง.
• บริหารจัดการโครงสร้างพื้นฐานด้านเทคโนโลยีสารสนเทศ (IT Infrastructure) รวมถึง Cloud Platform, Web Server และระบบ Cyber Security ให้มีความพร้อมใช้งาน มีความมั่นคงปลอดภัย และเป็นไปตามมาตรฐานขององค์กร.
• บริหารโครงการด้านเทคโนโลยีสารสนเทศ พร้อมติดตามความก้าวหน้า ประเมินความเสี่ยง และประสานงานกับทีมงาน ผู้ใช้งาน และผู้ให้บริการภายนอก เพื่อให้โครงการสำเร็จตามแผนงาน งบประมาณ และคุณภาพที่กำหนด.
• งานอื่น ๆ ที่เกี่ยวข้อง.
• ปริญญาตรีหรือสูงกว่า สาขาวิศวกรรมคอมพิวเตอร์ วิทยาการคอมพิวเตอร์ เทคโนโลยีสารสนเทศ หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน Software Development หรือ Application Development ไม่น้อยกว่า 5 ปี และมีประสบการณ์บริหารทีมพัฒนาโปรแกรม.
• มีความรู้และความเข้าใจใน Software Development Life Cycle (SDLC) ตั้งแต่การวิเคราะห์ ออกแบบ พัฒนา ทดสอบ และส่งมอบระบบ.
• มีความรู้ด้าน Software Architecture, System Design และ System Integration พร้อมสามารถกำหนดมาตรฐานการพัฒนาระบบและ Coding Standard ได้.
• มีประสบการณ์บริหารทีม Full Stack Developer หรือทีมพัฒนาซอฟต์แวร์ รวมถึงสามารถให้คำแนะนำและพัฒนาศักยภาพของทีมได้.
• มีประสบการณ์ด้าน Project Management และสามารถบริหารโครงการด้วยแนวทาง Waterfall และ/หรือ Agile.
• มีความรู้หรือประสบการณ์ด้าน SAP ในระดับ Functional, Application Support หรือ Service Management จะได้รับการพิจารณาเป็นพิเศษ.
• มีความเข้าใจภาษาโปรแกรมและ Framework ที่หลากหลาย เช่น Java, JavaScript, PHP, Flutter, SQL, JasperReports หรือเทคโนโลยีที่เกี่ยวข้อง พร้อมสามารถเลือกใช้เทคโนโลยีที่เหมาะสมกับลักษณะงาน (Technology Agnostic).
• มีความรู้และสามารถประยุกต์ใช้ Generative AI, Large Language Models (LLMs), Prompt Engineering, AI APIs, Low-code/No-code Platform และเครื่องมือ AI-Assisted Development เช่น GitHub Copilot หรือ Cursor เพื่อเพิ่มประสิทธิภาพการพัฒนาซอฟต์แวร์.
• หากมีความรู้หรือประสบการณ์ด้าน Cyber Security, IT Infrastructure, Cloud Platform (AWS, Azure หรือ GCP), DevOps, CI/CD หรือ Container Technology จะได้รับการพิจารณาเป็นพิเศษ.
• สถานที่ปฏิบัติงานหลัก ซอยวิภาวดีรังสิต 62 (https://www.cpretailink.co.th/).
• สนใจสมัครงาน สามารถสมัครทาง Website http://job.cpall.co.th/ หรือ E-mail: [email protected] (ใส่หัวข้อเป็นตำแหน่งที่สนใจ).

ทักษะ:

Agile Development, Architecture, Recruitment, Automation, Kubernetes

ประเภทงาน:

งานประจำ

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the sa ...

ทักษะ:

Agile Development, Architecture, Recruitment, Automation, Kubernetes

ประเภทงาน:

งานประจำ

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the sa ...

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Product Development, Marketing Strategy, Digital Marketing, Recruitment, Automation

ประเภทงาน:

งานประจำ

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the sa ...

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Microsoft SQL Server, Product Development, Marketing Strategy, Digital Marketing, Data Analysis

ประเภทงาน:

งานประจำ

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the sa ...

ทักษะ:

Software Development, Agile Development, Recruitment, YouTube, English

ประเภทงาน:

งานประจำ

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the sa ...

ประสบการณ์:

12 ปีขึ้นไป

ทักษะ:

Software Development, Quality Assurance, UI Automator, Architecture, Recruitment

ประเภทงาน:

งานประจำ

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the sa ...

ทักษะ:

Agile Development, Architecture, Recruitment, Automation, Kubernetes

ประเภทงาน:

งานประจำ

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the sa ...

ทักษะ:

Financial Reporting, Architecture, Recruitment, Automation, Kubernetes

ประเภทงาน:

งานประจำ

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the sa ...

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Software Development, Agile Development, Recruitment, YouTube, Oracle, Kotlin, Kafka, MySQL, NoSQL, Scala, Java, English

ประเภทงาน:

งานประจำ

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• In Agoda's Back-End Engineering department, we build scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, and more. We employ state-of-the-art CI/CD and testing techniques to ensure everything works without downtime. Our systems are self-healing, responding gracefully to extreme loads or unexpected input. We use modern languages like Kotlin and Scala, Data technologies Kafka, Spark, MLflow, Kubeflow, VastStorage, StarRocks and agile development practices. Most importantly, we hire great people from around the world and empower them to be successful.
• The Opportunity.
• Agoda Platform team is looking for developers to work on mission-critical systems that serve millions of users daily. You will have the chance to work on innovative projects, using cutting-edge technologies, and make a significant impact on our business and the travel industry.
• What You'll Need to Succeed.
• 10+ years.
• of experience developing performance-critical applications in a production environment using.
• Scala, Java, Kotlin.
• or relevant modern programming languages.
• Strong RDBMS knowledge (SQL Server, Oracle, MySQL, or other).
• Ability to direct significant company-wide projects and sets technical vision.
• Good command of the English language.
• Deeply involved in making architectural decisions, setting the standard and direction for the team.
• Implement advanced CI/CD pipelines and robust testing strategies to ensure seamless integration, deployment, and high code quality.
• Passion for software development and continuous improvement of your knowledge and skills.
• It's Great if You Have.
• Knowledge in NoSQL, Queueing systems (Kafka, RabbitMQ, ActiveMQ, MSMQ), and Play framework.
• This position is based in Bangkok, Thailand (Relocation Provided).
• Bangkok.
• IT.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our.
• privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Financial Reporting, Recruitment, YouTube, Jenkins, Python, Hadoop, Scrum, SQL, ETL, English

ประเภทงาน:

งานประจำ

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• The Data department oversees all Agoda's data-related requirements. Our goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology.
• We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company's culture of diversity and experimentation. The role the Data team plays at Agoda is critical, as business users, product managers, engineers, and many others rely on us to empower their decision making.
• The Opportunity.
• As.
• BI Developer., you will be a key individual contributor in a scrum team dedicated to supporting the B2B entity. You will be responsible for designing, building, and maintaining high-quality data products, dashboards, and scalable data transformations that enable financial reporting, operational analytics, and data-driven decision making across the organization.
• You will work closely with Finance, Planning, Revenue Operations, Data Engineering, Product, and Analytics stakeholders to translate business requirements into trusted and efficient BI solutions. This role requires strong technical expertise, ownership, and the ability to deliver reliable data assets that are discoverable, accurate, performant, and aligned with business and reporting needs.
• In This Role, You'll Get to.
• Design, develop, and maintain dashboards, curated datasets, semantic layers, and data marts to support B2B reporting and analytics.
• Build and maintain ETL/ELT transformations to ensure data is accurate, timely, scalable, and fit for reporting and analytical use cases.
• Translate business requirements into scalable data models and BI solutions that support financial reporting, forecasting, partner operations, and performance tracking.
• Perform data validation, reconciliation, and root cause analysis to identify and resolve issues before they impact downstream consumers.
• Partner with Data Engineering and upstream system owners to understand source systems, data dependencies, and integration logic.
• Optimize queries, data models, and dashboard performance to improve reliability, efficiency, and user experience.
• Experience with large-scale data platforms such as Hadoop, Spark, Impala, Vertica, or similar technologies.
• Maintain clear documentation for business logic, source-to-target mapping, metric definitions, and transformation rules.
• Support self-service analytics by delivering well-structured, trusted, and understandable data assets.
• Participate in sprint planning, solution discussions, design reviews, and delivery activities within the team.
• Troubleshoot production issues and implement sustainable fixes to improve the stability and quality of BI products.
• Contribute to BI development standards, code quality, testing practices, and team ways of working.
• Collaborate with cross-functional stakeholders to align on requirements, clarify logic, and ensure successful delivery.
• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Analytics, or a related field (or equivalent practical experience).
• 2+ years of experience in Business Intelligence, Analytics Engineering, Data Engineering, or a related data development role.
• Strong SQL skills and solid experience writing efficient, maintainable queries for complex analytical and reporting use cases.
• Hands-on experience building dashboards, datasets, and data transformations using BI and data platform technologies.
• Solid understanding of data modelling concepts for analytics and reporting, including fact/dimension design, grain definition, and reusable semantic structures.
• Experience with ETL/ELT development and orchestration concepts, using tools or scripting languages such as Python, Airflow, or similar technologies.
• Strong understanding of data validation, reconciliation, and quality control practices in production BI environments.
• Ability to work with large datasets and optimize performance through query tuning, partition awareness, and efficient design patterns.
• Experience with large-scale data platforms such as Hadoop, Spark, Impala, Vertica, or similar technologies.
• Good understanding of BI development lifecycle, including requirement gathering, design, development, testing, deployment, and post-release support.
• Ability to independently own medium-to-large scope tasks, break down ambiguous problems, and deliver practical, scalable solutions.
• Strong communication skills in English, with the ability to document clearly and work effectively with cross-functional stakeholders.
• High attention to detail, strong problem-solving skills, and commitment to data accuracy and reliability.
• Experience with Snowflake and familiarity with features such as clustering, materialized views, Time Travel, and performance optimization techniques.
• Experience with Agile/Scrum ways of working and CI/CD practices utilizing technologies such as Git, Jenkins, or Terraform.
• Experience designing BI products that support self-service analytics and strong user adoption.
• Bangkok.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our.
• privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ทักษะ:

Full Stack, SAP

ประเภทงาน:

งานประจำ

• บริหารและพัฒนาทีม Software Development และ Full Stack Developer ตั้งแต่การวิเคราะห์ ออกแบบ พัฒนา ทดสอบ และส่งมอบระบบ ให้มีคุณภาพ ตรงตามความต้องการของธุรกิจ และเป็นไปตามเป้าหมายขององค์กร.
• กำหนด Technical Direction, Software Architecture, Coding Standard และมาตรฐานการพัฒนาระบบ เพื่อยกระดับคุณภาพของซอฟต์แวร์ รองรับการขยายตัวของธุรกิจ และสามารถบำรุงรักษาระบบได้อย่างมีประสิทธิภาพในระยะยาว.
• ประสานงานกับ PMO, Business User และหน่วยงานที่เกี่ยวข้อง เพื่อรวบรวมความต้องการทางธุ ...
• วางแผนและผลักดันการนำ Artificial Intelligence (AI), Machine Learning, Automation และเทคโนโลยีดิจิทัลสมัยใหม่มาประยุกต์ใช้ เพื่อเพิ่มประสิทธิภาพการดำเนินงาน ยกระดับกระบวนการทำงาน และสนับสนุนการเติบโตขององค์กร.
• กำกับดูแลการให้บริการและการพัฒนาระบบ SAP ในภาพรวม พร้อมประสานงานกับ Gosoft และผู้เกี่ยวข้อง ติดตามผลการให้บริการตาม Service Level Agreement (SLA) วิเคราะห์ปัญหา และสนับสนุนการแก้ไขปัญหาร่วมกับทีม SAP เพื่อให้ระบบมีเสถียรภาพและสามารถรองรับการดำเนินธุรกิจได้อย่างต่อเนื่อง.
• บริหารจัดการโครงสร้างพื้นฐานด้านเทคโนโลยีสารสนเทศ (IT Infrastructure) รวมถึง Cloud Platform, Web Server และระบบ Cyber Security ให้มีความพร้อมใช้งาน มีความมั่นคงปลอดภัย และเป็นไปตามมาตรฐานขององค์กร.
• บริหารโครงการด้านเทคโนโลยีสารสนเทศ พร้อมติดตามความก้าวหน้า ประเมินความเสี่ยง และประสานงานกับทีมงาน ผู้ใช้งาน และผู้ให้บริการภายนอก เพื่อให้โครงการสำเร็จตามแผนงาน งบประมาณ และคุณภาพที่กำหนด.
• งานอื่น ๆ ที่เกี่ยวข้อง.
• ปริญญาตรีหรือสูงกว่า สาขาวิศวกรรมคอมพิวเตอร์ วิทยาการคอมพิวเตอร์ เทคโนโลยีสารสนเทศ หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน Software Development หรือ Application Development ไม่น้อยกว่า 5 ปี และมีประสบการณ์บริหารทีมพัฒนาโปรแกรม.
• มีความรู้และความเข้าใจใน Software Development Life Cycle (SDLC) ตั้งแต่การวิเคราะห์ ออกแบบ พัฒนา ทดสอบ และส่งมอบระบบ.
• มีความรู้ด้าน Software Architecture, System Design และ System Integration พร้อมสามารถกำหนดมาตรฐานการพัฒนาระบบและ Coding Standard ได้.
• มีประสบการณ์บริหารทีม Full Stack Developer หรือทีมพัฒนาซอฟต์แวร์ รวมถึงสามารถให้คำแนะนำและพัฒนาศักยภาพของทีมได้.
• มีประสบการณ์ด้าน Project Management และสามารถบริหารโครงการด้วยแนวทาง Waterfall และ/หรือ Agile.
• มีความรู้หรือประสบการณ์ด้าน SAP ในระดับ Functional, Application Support หรือ Service Management จะได้รับการพิจารณาเป็นพิเศษ.
• มีความเข้าใจภาษาโปรแกรมและ Framework ที่หลากหลาย เช่น Java, JavaScript, PHP, Flutter, SQL, JasperReports หรือเทคโนโลยีที่เกี่ยวข้อง พร้อมสามารถเลือกใช้เทคโนโลยีที่เหมาะสมกับลักษณะงาน (Technology Agnostic).
• มีความรู้และสามารถประยุกต์ใช้ Generative AI, Large Language Models (LLMs), Prompt Engineering, AI APIs, Low-code/No-code Platform และเครื่องมือ AI-Assisted Development เช่น GitHub Copilot หรือ Cursor เพื่อเพิ่มประสิทธิภาพการพัฒนาซอฟต์แวร์.
• หากมีความรู้หรือประสบการณ์ด้าน Cyber Security, IT Infrastructure, Cloud Platform (AWS, Azure หรือ GCP), DevOps, CI/CD หรือ Container Technology จะได้รับการพิจารณาเป็นพิเศษ.
• สถานที่ปฏิบัติงานหลัก ซอยวิภาวดีรังสิต 62 (https://www.cpretailink.co.th/).
• สนใจสมัครงาน สามารถสมัครทาง Website http://job.cpall.co.th/ หรือ E-mail: [email protected] (ใส่หัวข้อเป็นตำแหน่งที่สนใจ).

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Recruitment, Big Data, YouTube, Python, Hadoop, Scala, SQL

ประเภทงาน:

งานประจำ

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• The Data department oversees all of Agoda's data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company's culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
• The Opportunity.
• We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
• As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
• In This Role, You'll Get to.
• Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
• Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
• Work with developers and a variety of business owners to deliver daily results with the best quality.
• Research discover and harness new ideas that can make a difference.
• What You'll Need to Succeed.
• 4+ years hands-on data science experience.
• Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
• Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
• Can lead, work independently as well as play a key role in a team.
• Good communication and interpersonal skills for working in a multicultural work environment.
• It's Great if You Have.
• PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields.
• Experience in NLP, image processing and/or recommendation systems.
• Hands on experience in data engineering, working with big data framework like Spark/Hadoop.
• Experience in data science for e-commerce and/or OTA.
• We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
• sanfrancisco.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our.
• privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Financial Reporting, Architecture, Recruitment, Automation, Kubernetes

ประเภทงาน:

งานประจำ

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the sa ...

ทักษะ:

Automation

ประเภทงาน:

งานประจำ

• Strong Python programming skills with experience in production-grade development practices, including writing maintainable, scalable, and well-structured code. Knowledge of TypeScript or Go is a plus.
• Developer mindset with solid understanding of backend development, microservices architecture, and RESTful API design.
• Experience building automation workflows and data pipelines using Python, ETL processes, Bash scripting, and scheduled jobs (e.g., CronJobs).
• Hands-on experience with cloud platforms (Azure) including Azure AI Services, Azure AI Foundry, and related AI infrastructure.
• Experience with containerization and orchestration technologies, such as Docker and Kubernetes, for deploying scalable AI services.
• Good understanding of Agentic AI architectures, AI Agents, and modern LLM frameworks such as LangChain, LangGraph, and AI SDK.
• Ability to design and implement AI agents using: Pro-code frameworks (e.g., Agent SDK), Low-code / no-code solutions (e.g., Azure AI Foundry Agents).
• AI Observability & Monitoring.
• Experience implementing AI observability and monitoring systems for LLM-based applications and AI agents.
• Hands-on experience with AI observability tools such as LangFuse, and logging platforms such as Azure Log Analytics.
• Experience building monitoring dashboards and system telemetry using Grafana.
• Strong understanding of AI system logging, tracing, and performance monitoring for production AI systems.
• Familiarity with LLM evaluation techniques, including LLM-as-a-Judge frameworks to measure agent quality and response performance.
• Understanding of AI evaluation metrics, including model accuracy and response quality latency and throughput, reliability and system health and token usage and cost efficiency.
• Operational Skills.
• Experience with monitoring and observability platforms such as Prometheus, Grafana, and ELK Stack.
• Ability to design operational dashboards to track AI agent KPIs, system health, and service reliability.
• Understanding of model drift detection, data quality monitoring, and AI system observability practices.
• Strong communication and collaboration skills to work with AI engineers, risk teams, product teams, and business stakeholders.
• Design and implement AI observability frameworks to monitor the performance, reliability, and behavior of AI agents and LLM-based systems in production environments.
• Integrate AI observability platforms with third-party systems (e.g., SAS solutions) for governance, compliance monitoring, and operational reporting, using ETL pipelines and data integration workflows.
• Build predictive analytics and automation frameworks to support AI system operations and operational decision-making.
• Develop real-time monitoring dashboards and operational analytics tools for AI systems, including capabilities such as: anomaly detection, predictive forecasting, incident monitoring and alerting root cause analysis for system failures or abnormal agent behavior.
• Define and monitor AI agent KPIs and performance metrics, including quality evaluation using LLM-as-a-Judge approaches.
• Collaborate with AI Engineers, AI Scientists, and Risk teams to define: experiment metrics, evaluation frameworks, continuous monitoring strategies for AI systems.
• Work closely with Product teams, customers, and stakeholders to define business-level KPIs for AI agents and measure their impact on business outcomes.
• Feed operational insights, monitoring results, and evaluation metrics back into the AI development lifecycle to drive continuous improvement of models and agents.
• Manage AI platform operations, including platform upgrades, governance compliance, and SLA monitoring for production AI services.
• Design and maintain data pipelines and operational data infrastructure to ensure standardized, clean, and reliable data for analytics, monitoring, and reporting.
• Collaborate with DevOps, SRE, and IT teams on tooling, infrastructure, CI/CD pipelines, and deployment processes to ensure reliable AI system delivery.

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

Full Stack

ประเภทงาน:

งานประจำ

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• Bring Your Talent to Asia's Tech Hub! Join Agoda in Bangkok as a Staff Software Engineer (Full Stack).
• Are you a seasoned developer ready to drive global impact? Join a diverse team of top engineers from 50+ countries at Agoda, right in the heart of vibrant Bangkok. We offer a world-class relocation package, genuine career growth, and an opportunity to architect systems that touch millions of users daily.
• Why Agoda & Why Bangkok?.
• Truly International: Collaborate in a multicultural, English-speaking team with colleagues from every continent.
• Global Impact, Cutting-Edge Problems: Design, build, and scale high-performance systems for a worldwide audience.
• Bangkok Lifestyle: Dynamic city with excellent food, travel, and expat life, plus lower cost of living.
• The Impact You'll Make.
• Lead full-stack architecture and system design for features used by millions of customers.
• Own complex end-to-end systems from React-based frontend to backend microservices and mentor high-performing teams.
• Design and evolve Backend-for-Frontend (BFF) layers that aggregate downstream services into optimized, UI-friendly contracts.
• Guide technical decisions across several squads, driving engineering excellence.
• Collaborate with Product and Design to deliver cohesive, user-centered solutions at scale.
• What We're Looking For.
• 8+ years of experience in software engineering (web, backend, or full stack).
• Hands-on proficiency with React and its ecosystem Next.js (SSR/SSG), TypeScript, state management (Redux, Zustand, or similar), component libraries, and build tooling (Webpack/Vite).
• Expertise in Java, Kotlin, or.NET; comfort designing microservices and REST/gRPC APIs.
• Experience building and owning Node.js/TypeScript BFF layers that sit between frontend and core services, including API aggregation, response shaping, and auth handling.
• Solid understanding of frontend performance fundamentals: Core Web Vitals, code splitting, lazy loading, and rendering strategies (CSR vs SSR vs ISR).
• Familiarity with testing approaches across the stack unit, integration, and E2E (Jest, Cypress, or Playwright).
• Proven experience leading end-to-end architecture on high-traffic platforms.
• Track record of technical mentorship, cross-team collaboration, and solving ambiguous problems.
• What We Offer.
• Visa sponsorship for you and your family.
• Flights, settling-in allowance, and temporary housing.
• Dedicated relocation and settling-in advisors.
• Relocation buddy program and community events.
• Partner & children support (school search, legal, etc.).
• International health insurance.
• Flexible home visit support.
• Hybrid working (Bangkok HQ).
• Professional growth and learning budget.
• Employee resource groups for every culture and background.
• https://careersatagoda.com/agodans-in-bangkok/.
• https://medium.com/agoda-engineering.
• This position is based in Bangkok, Thailand (Relocation Provided).
• bangalore.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our.
• privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.