Key Responsibilities
Cloud-Native System Development: Assist in building, testing, and maintaining advertising data services on AWS, gaining exposure to technologies like EKS, MSK, and S3.
Large-Scale Data Engineering: Participate in the development and optimization of real-time and batch processing pipelines using Flink, Spark, and HBase to handle massive ad-log flows.
System Reliability & Testing: Write robust unit and integration tests. Assist in monitoring system stability and troubleshooting basic performance bottlenecks under the guidance of senior engineers.
Feature Implementation: Collaborate with the team to implement features that support mission-critical, 24/7 ad-tech operations with high traffic and low latency.
Data Compliance: Support the team in developing technical solutions that enforce strict data isolation and regional compliance for global users.
Technical Requirements
Education: Currently pursuing a Bachelor’s, Master’s, or PhD degree in Computer Science, Software Engineering, or a related technical field.
Backend Foundation: Solid programming skills in Java, with a strong understanding of data structures, algorithms, and object-oriented design. Basic knowledge of multithreading and JVM is a plus.
Big Data Interest: Academic or personal project experience with, or a strong desire to learn, big data frameworks (e.g., Flink, Spark, HBase).
Cloud/Infrastructure: Basic understanding of cloud computing concepts. Familiarity with Linux environments, Git, and containerization (Docker/Kubernetes) is highly preferred.
Problem Solving: Strong analytical skills with the ability to debug code and solve complex technical problems effectively.
Who We Look For
Preferred Qualifications
AI-Assisted Development: Familiarity with AI coding tools (e.g., GitHub Copilot, Cursor, ChatGPT) and a proactive mindset to leverage them for enhancing coding efficiency, generating tests, and debugging.
Industry Interest: A strong interest in the AdTech industry (e.g., Attribution, Tracking, or RTB systems).
Drive & Passion: A passion for exploring new technologies and a proactive, self-driven approach to learning.
Professional working proficiency in English and Mandarin is required, as the role regularly involves participating in meetings and reviewing written materials in both languages with global teams and with Mandarin-speaking stakeholders at our headquarters in China.
Equal Employment Opportunity at Tencent
As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
