SRE Intern: Cloud Data Platforms & Automation

Tencent International Service Pte. Ltd.; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

Tencent Games is seeking a data infrastructure professional to maintain overseas cloud data platforms and build automated O&M tools. You will help optimize data service architectures, ensure reliability, and implement fault tolerance and disaster recovery across public cloud environments.

Candidates should have hands-on experience with Kubernetes, GCP/AWS, and big data ecosystems, with coding skills in shell, Python, or Go, and a collaborative, quick-learning mindset.

Qualifications

• Hands-on experience with 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

Hadoop

Kafka

Flink

NoSQL databases

Shell

Python

Go

Tools

Kubernetes

Cloud platforms (GCP/AWS)

Hadoop

Kafka

Flink

NoSQL DBs

Job description

Tencent Games is seeking a data infrastructure professional to maintain overseas cloud data platforms and build automated O&M tools. You will help optimize data service architectures, ensure reliability, and implement fault tolerance and disaster recovery across public cloud environments.

Candidates should have hands-on experience with Kubernetes, GCP/AWS, and big data ecosystems, with coding skills in shell, Python, or Go, and a collaborative, quick-learning mindset.