Cloud-Native Ad Tech Engineering Intern

Tencent; Singapore; On-site; SGD 17,000 - 23,000; Full time

Job summary

Tencent AMS is establishing a core engineering hub in Singapore to spearhead our overseas advertising data infrastructure. We are seeking a motivated Software Engineering Intern to assist in the development of our next-generation ad-data systems natively on AWS.

This is a unique opportunity to learn and contribute to building a high-scale ecosystem from the ground up. Working alongside experienced senior engineers, you will gain hands-on experience tackling real-time attribution and massive log

Qualifications

• Pursuing a Computer Science/Software Engineering degree or related field.
• Strong Java skills and understanding of data structures and algorithms.
• Interest in Big Data, streaming frameworks, and cloud-native systems.
• Familiarity with Linux, Git, Docker/Kubernetes is a plus.
• Analytical problem solving and good communication in English.

Responsibilities

• Assist in building, testing, and maintaining AWS-based ad-data services.
• Contribute to real-time and batch data pipelines using Flink, Spark, and HBase.
• Write unit and integration tests and help monitor system performance.
• Collaborate on features for 24/7 ad-tech operations with low latency.
• Support data isolation and regional compliance for global users.

Skills

Java

Big Data

Cloud/Infra

Linux

Docker/Kubernetes

Git

Multithreading

Communication

Education

Bachelor's / Master's / PhD in CS/SE or related field

Tools

Flink

Spark

HBase

EKS

MSK

S3

Job description

Tencent AMS is establishing a core engineering hub in Singapore to spearhead our overseas advertising data infrastructure. We are seeking a motivated Software Engineering Intern to assist in the development of our next-generation ad-data systems natively on AWS.

This is a unique opportunity to learn and contribute to building a high-scale ecosystem from the ground up. Working alongside experienced senior engineers, you will gain hands-on experience tackling real-time attribution and massive log