This is a Software Engineer - Live Streaming Backend (Distributed Systems) role with one of the leading companies in AU right now, TikTok, with an amazing team. They are continuing to grow rapidly. This is the chance to join right as the platform takes off.
More About the Role at TikTok
* Responsibilities
Video & Edge is one of the world's leading video platforms that provides media storage, delivery, transcoding, and streaming services. We are building the next-generation video processing platform and the largest live streaming network, offering excellent experiences for billions of users worldwide. TikTok's popular video products are powered by our cutting-edge cloud technologies. In this team, you will tackle challenges of large-scale networks globally, leveraging your expertise in coding, algorithms, complexity analysis, and large-scale system design.
* Design, build, and maintain a global-scale, multi-regional live streaming platform.
* Design, implement, and operate critical and scalable services such as video delivery, live scheduling, and core persistence layers.
* Build live streaming platforms, systems, and infrastructure with knowledge in network and distributed systems.
* Ensure service and system quality by building testing frameworks and automation tests.
* Participate in design and code reviews for the live streaming infrastructure team.
Qualifications
* Minimum Qualifications
Bachelor's degree in Computer Science or a related technical field, or equivalent experience.
Proficiency in at least one of the following languages: C, C++, Java, Python, or Go.
Experience in designing, analyzing, and troubleshooting large-scale distributed systems.
Familiarity with Unix/Linux operating systems.
* Preferred Qualifications
Master's degree or higher in Computer Science or a related technical field.
Experience in designing, building, and maintaining a global-scale, multi-regional live streaming platform.
Expertise in implementing and operating critical and scalable services related to video delivery, live scheduling, and core persistence layers.
Knowledge of network and distributed systems in the context of building live streaming platforms.
Experience with SQL, NoSQL databases, caching systems, video processing, and delivery technologies.
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