SRE Intern: Cloud Data Platforms & Automation

Proxima Beta Pte. Limited; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Tencent Games is seeking a data platform engineer to maintain and optimize big data suites on overseas cloud platforms, oversee deployment monitoring, and build automation tools to boost deployment efficiency. The role emphasizes fault-tolerant architecture and disaster-recovery planning.

Ideal candidates have hands-on experience with Kubernetes, cloud services (GCP/AWS), and big data ecosystems (Hadoop, Kafka, Flink, Storm, NoSQL). Collaboration and continuous learning are valued in this team.

Qualifications

• Hands-on experience with the processing and maintenance of deployment and monitoring for various resource objects and applications, Kubernetes container clusters, etc.
• Familiar with mainstream public cloud service technologies (GCP/AWS) and related operations of cloud service product tools.
• Familiar with big data tools, Hadoop/Kafka/Flink/Storm/NoSQL DB, etc.
• Experience in automated operation and maintenance/monitoring tool development is strongly preferred.
• Proficient in more than one language (shell/python/GO, etc.).
• Has a passion for learning and functions well in a team.

Responsibilities

• Responsible for maintaining big data suites of overseas cloud platforms, monitoring and resource management, and ensuring the stability of data platforms and services.
• Responsible for the construction of automatic operation and maintenance tools to improve the efficiency of deployment and maintenance.
• Responsible for optimizing the architecture of data-related services, designing and implementing public cloud solutions such as fault tolerance and remote disaster recovery to improve product quality.

Skills

Kubernetes

GCP/AWS

Big Data

Automation

Scripting (Shell)

Teamwork

Tools

Hadoop

Kafka

Flink

Storm

NoSQL

Job description

Tencent Games is seeking a data platform engineer to maintain and optimize big data suites on overseas cloud platforms, oversee deployment monitoring, and build automation tools to boost deployment efficiency. The role emphasizes fault-tolerant architecture and disaster-recovery planning.

Ideal candidates have hands-on experience with Kubernetes, cloud services (GCP/AWS), and big data ecosystems (Hadoop, Kafka, Flink, Storm, NoSQL). Collaboration and continuous learning are valued in this team.