Senior/Expert Site Reliability Engineer - Big Data Responsibilities

Shopee; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Shoopee's Engineering and Technology team in Singapore seeks a capable Big Data SRE who will deploy and operate high-scale data platforms. You’ll improve availability, reliability, and efficiency while building observability and automation.

You’ll own incident response, capacity planning, and post-incident reviews, collaborating across data, infra, and engineering teams to keep production running smoothly and safely.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or related fields.
• At least one year of experience in big data SRE, platform operations, or production support.
• Familiarity with Hadoop ecosystem and hands-on ops with HDFS, YARN, Spark, Flink, Hive, Presto/Trino, Kafka, HBase, or ClickHouse.
• Solid knowledge of Linux systems and common ops tools, with monitoring, troubleshooting, performance tuning, and capacity planning.
• Hands-on experience handling production incidents in big data environments with structured troubleshooting to identify root causes quickly.
• Programming or scripting in Shell, Python, Java, or Scala for operational tooling and automation.
• Understanding of HA, DR, observability, change management, and SRE practices.
• Strong communication and cross-functional collaboration skills and a proactive improvement mindset.

Responsibilities

• Deploy, operate, and maintain big data platforms, improving availability, reliability, and scalability.
• Own monitoring, alerting, incident response, troubleshooting, and capacity planning for big data services.
• Build observability: metrics, logging, tracing, dashboards, and alert management.
• Document and automate repetitive tasks; turn knowledge into tools and standardized processes.
• Improve incident response procedures, contingency plans, and post-incident reviews to reduce MTTR.
• Collaborate with eng, data, and infra teams to optimize platform architecture and reliability.

Skills

Big data SRE

Platform operations

Incident response

Troubleshooting

Automation

Cross-functional teamwork

Education

Bachelor's degree in Computer Science or related field

Tools

HDFS

YARN

Spark

Flink

Hive

Presto/Trino

Kafka

HBase

ClickHouse

Job description

Department Engineering and TechnologyLevelExperienced (Individual Contributor)LocationSingaporeThe Engineering and Technology team is at the core of the Shopee platform development. The team is made up of a group of passionate engineers from all over the world, striving to build the best systems with the most suitable technologies. Our engineers do not merely solve problems at hand; We build foundations for a long-lasting future. We don't limit ourselves on what we can or can't do; we take matters into our own hands even if it means drilling down to the bottom layer of the computing platform. Shopee's hyper-growing business scale has transformed most \"innocent\" problems into huge technical challenges, and there is no better place to experience it first-hand if you love technologies as much as we do.Job Description:Deploy, operate, and maintain big data platforms, continuously improving their availability, reliability, scalability, and operational efficiency.Own monitoring, alerting, incident response, troubleshooting, performance optimization, and capacity planning for big data services and platforms.Build and improve platform observability capabilities, including metrics, logging, tracing, dashboards, and alert management.Turn operational knowledge and repetitive tasks into documentation, tools, automation, and standardized processes.Establish and continuously improve incident response procedures, contingency plans, and post-incident review practices to reduce failure rates and mean time to recovery.Collaborate with engineering, data, and infrastructure teams to optimize platform architecture and ensure production reliability and operational safety.Requirements:Bachelor’s degree or higher in Computer Science, Software Engineering, or any related fields.At least one year of experience in big data SRE, platform operations, or production support.Familiarity with the Hadoop ecosystem and hands-on operational experience with one or more technologies such as HDFS, YARN, Spark, Flink, Hive, Presto/Trino, Kafka, HBase, or ClickHouse.Solid knowledge of Linux systems and common operations tools, with practical experience in monitoring, troubleshooting, performance tuning, and capacity planning.Hands-on experience handling production incidents in big data environments, with a structured troubleshooting approach and the ability to identify root causes quickly.Proficiency in at least one programming or scripting language, such as Shell, Python, Java, or Scala, with the ability to develop operational tools and automation.Understanding of high availability, disaster recovery, observability, change management, and Site Reliability Engineering practices.Strong communication, collaboration, and cross-functional coordination skills, with a proactive mindset and a commitment to continuous improvement.