Backend Engineer - Real-time Streaming & Fund Safety

TikTok; Singapore; Vor Ort; SGD 55.000 - 80.000; Vollzeit

Zusammenfassung

TikTok is seeking a Backend Software Engineer Graduate for the Global LIVE Fund Safety team, starting 2027. You will help build and optimize a real-time, high-performance distributed infrastructure for live streaming, collaborating with product managers to deliver features and ensure data consistency in fund-related processes.

The role offers exposure to large-scale systems, startup-like growth within a global team, and opportunities to work on end-to-end lifecycle of critical features for

Qualifikationen

• Bachelor's degree in Software Development, Computer Science, Computer Engineering or a related discipline.
• Proficient in Go, Python, Java, or C++.
• Deep understanding of computer architectures, data structures and algorithms; knowledge of MySQL/Redis/Kafka.

Aufgaben

• Plan and lead large-scale technical projects, especially fund-related, to prepare scalable product growth.
• Align with product and org objectives; coordinate with cross-functional teams to deliver results.
• Develop robust, efficient platform technologies for live streaming and fund-safety features.
• Contribute to engineering strategy, tooling, processes and culture.
• Research and apply advanced domain knowledge to product development.
• Focus on fund-related requirements, ensuring strong consistency and data validity.

Kenntnisse

Go

Python

Java

C++

MySQL

Redis

Kafka

Ausbildung

Bachelor's degree in Software Development / Computer Science / Computer Engineering

Jobbeschreibung

TikTok is seeking a Backend Software Engineer Graduate for the Global LIVE Fund Safety team, starting 2027. You will help build and optimize a real-time, high-performance distributed infrastructure for live streaming, collaborating with product managers to deliver features and ensure data consistency in fund-related processes.

The role offers exposure to large-scale systems, startup-like growth within a global team, and opportunities to work on end-to-end lifecycle of critical features for