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    Backend Software Engineer - Sydney, Australia - TikTok

    TikTok
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    Description
    About the team
    At TikTok, the Media Service Team builds the multimedia infrastructure powering our platform and other products. Part of the VideoArch department, we specialize in Video-on-Demand (VoD) technology, developing solutions that process billions of videos daily.

    Our core responsibilities include optimizing TikTok's high-performance VoD transcoder, architecting cost-saving VoD strategy platforms that have trimmed tens of millions in costs, and building distributed task processing platforms that enable efficient multimedia development.

    Join our team and contribute to video technologies captivating millions worldwide. We offer growth opportunities, collaboration with experts, and the chance to shape multimedia experiences.

    If you thrive on challenges, cutting-edge tech, and want to make an impact, explore exciting roles with the Media Service Team.

    Responsibilities

    • Participate in the design, development, and maintenance of the large-scale multimedia processing system, which processes billions of videos per day for TikTok, ensuring seamless multimedia experiences for our global user base.
    • Contribute to the construction of the VoD strategy platform to deliver cost-effective transcoding and storage optimization strategies, continuously innovating to drive significant cost savings across our operations.
    • Work in areas related to large-scale distributed system development, workflow orchestration, task scheduling, just-in-time video transcoding, data analysis, and other solutions enabling efficient multimedia processing at an unprecedented scale.
    Minimum Qualifications

    • Bachelor's degree in Computer Science, Software Engineering, or a closely related technical field.
    • Proficiency in at least one general-purpose programming language such as Golang, Python, C++, or Java, with demonstrated experience in writing efficient, maintainable, and well-documented code.
    • Hands-on experience with debugging techniques and code optimization practices. Preferred Qualifications
    • Significant experience in designing and architecting large-scale video processing systems or similar distributed systems architectures.
    • Minimum of 2 years of professional experience in developing and maintaining large-scale infrastructure and distributed systems.
    • Knowledge of data analysis techniques, data mining, and familiarity with structured query languages (., SQL, HQL).
    • Understanding of machine learning principles and mathematical modeling concepts.
    • Excellent communication skills and the ability to collaborate effectively within a team environment.
    • Strong problem-solving and analytical skills, with a proven ability to research and implement solutions to complex technical challenges.
    • Proven ability to quickly learn and adapt to new technologies and programming languages.


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