Senior DevOps Engineer (Bangkok-Based, Relocation Provided)

Get to Know Our Team

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.

Why Agoda Data DevOps Team?

Our systems scale across multiple data centers, totalling a few million writes per second and managing tens of petabytes of data. We deal with problems from real-time data-ingestion, replication, enrichment, storage and analytics. We are not just using Big Data technologies; we are pushing them to the edge. 

Join us in the team that handles our Data Lake, a crucial platform that serves a wide range of business critical needs and applications from being used to train ML models for user-facing applications, to enabling reporting and monitoring, to empowering Product Owners to do research and experimentation hypothesis. The data lake is the very heart of our data-driven culture and spans hundreds of servers across multiple data centers at tens of PB scale.

In this Role, you will get to

• Improve scalability, stability, accuracy, speed and efficiency of our existing Data Platform 
• Build, administer and scale Data Platform 
• Be comfortable navigating the following technology stack: S3, Kubernetes, KubeFlow, Spark, SQL, Impala, Scala, java, Python, scripting (Bash/Python) etc. 
• Work with experienced engineers to identify and build tools to automate many large-scale data platform management 

What You’ll need to Succeed 

• Bachelor’s degree in Computer Science /Information Systems/Engineering/related field 
• 2+ years of experience in Kubernetes Administration 
• Familiarity with on-premise platform
• Good experience in Apache Spark performance tuning and debugging 
• Good level understanding of JVM and either Java or Scala 
• Experience in WorkFlow Scheduler eg. KubeFlow, AirFlow, Oozie etc. 
• SQL experience eg. SparkSql, Impala, BigQuery, Presto/Trino, StarRocks etc. 
• Experience debugging and reasoning about production issues is desirable 
• Analytical problem-solving capabilities & experience. 
• Systems administration skills in Linux 

It’s great if you have 

• Experience working with Open-source products 
• Python/Shell scripting skills 
• Working in an agile environment using test driven methodologies 

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