Site Reliability Engineer, Data Infrastructure

3 days ago


Singapore Shopee Full time

Site Reliability Engineer, Data Infrastructure (Campus Recruitment 2026)
Join to apply for the Site Reliability Engineer, Data Infrastructure (Campus Recruitment 2026) role at Shopee.
About The Team
Shopee will be prioritizing applicants who have a current right to work in Singapore, and do not require Shopee sponsorship of a visa. Kindly note that you can only be considered in one recruitment process at a time within Sea Group and will be considered for jobs in the order that you have applied.
The Data Infrastructure team is responsible for building a stable, efficient, secure, and easy-to-use big data infrastructure and platform for the company. This includes data collection, storage, offline calculation of massive data, real-time stream computing, online analysis and processing, instant return query, and other aspects of data infrastructure support. The team provides a basic platform for computing scheduling, batch computing, real-time computing, structured data query, big data analysis, and KV query to business and data teams. It supports data reports, dashboards, real-time processing, data mining, and analysis, among other services.
Job Description
Responsible for maintaining big data systems such as Hadoop/Spark/Storm/Kafka.
Responsible for big data ops architecture review, capacity planning, cost optimisation, tracking and troubleshooting, and building a big data monitoring system to maintain overall stability and efficiency.
Deeply participate in big data related businesses, such as search engine and deep learning, and promote sustainable development of big data initiatives.
Responsible for the maintenance and development of the BigData ops automation platform, and improve the operation and maintenance management level of big data.
Requirements
Bachelor’s or higher degree in Computer Science, Engineering, Information Systems or related fields.
Familiar with Linux systems and scripting, with background development in Python/Shell.
Familiar with BigData platforms such as Hadoop, Zookeeper, Redis, Kafka, SPARK, MQ, ELK; experience is a plus.
Familiar with large-scale big data operation and maintenance architecture solutions is a plus.
Excellent communication, expression, and organizational collaboration skills; able to adapt to a diversified international working environment.
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