VoD Platform Intern – Large-Scale Backend Systems (Sydney)

Collaw; Sydney; Hybrid; AUD 20,000 - 31,000; Part time

Benefits offered by this job

Mentorship

On-site in Sydney

Industry exposure

Job summary

TikTok invites motivated students for an internship in Platform Engineering, focusing on VoD processing and multimedia infrastructure that powers billions of videos daily. You will design, develop, and optimize systems used across TikTok’s VoD platform, while learning from leading engineers and contributing to scalable, cost-aware solutions.

From December 2026 to February 2027, on-site at our Sydney office for at least three days a week, you will work on large-scale distributed systems, data

Qualifications

• Pursuing or recently completed Bachelor's/Master's in software, CS, CE or related field.
• On-site at Sydney for at least 3 days per week during the internship (min 3 months).
• Solid basic knowledge of software, Linux OS, storage, network IO, and related principles.
• Familiarity with Go, Python, and C++, with knowledge of design patterns and coding principles.
• Strong learning, communication, and teamwork skills.

Responsibilities

• Participate in design, development, and maintenance of the large-scale multimedia processing system powering TikTok.
• Contribute to VoD strategy platform for cost-effective transcoding and storage optimization.
• Work in areas like distributed systems, workflow orchestration, task scheduling, and data analysis.

Skills

Go

Python

C++

Linux

Teamwork

Communication

Education

Bachelor's/Master's degree in Software Development/CS/CE

Tools

Git

SQL

Job description

TikTok invites motivated students for an internship in Platform Engineering, focusing on VoD processing and multimedia infrastructure that powers billions of videos daily. You will design, develop, and optimize systems used across TikTok’s VoD platform, while learning from leading engineers and contributing to scalable, cost-aware solutions.

From December 2026 to February 2027, on-site at our Sydney office for at least three days a week, you will work on large-scale distributed systems, data