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Software Engineer- LiveStreaming Player (C++)

JuniorMid levelFull-timeHybridSydney NSW, AustraliaPosted 5 months agoVerified 1 week ago
Pending fitX of Y criteria met

About the job

Video Arch is a leading video platform that is revolutionizing media storage, delivery, transcoding, and streaming services. In this exciting job, you will tackle challenges in designing and developing large-scale distributed systems, ensuring low latency and high-quality live streaming experiences for billions of users worldwide. The team thrives on collaboration and innovation, providing a supportive environment where your technical leadership and expertise can truly shine.

Meet the team

About the company

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You'll be responsible for

🔍

Conducting research

Conduct thorough research on business requirements and design and develop efficient media processing pipelines within the live streaming player SDK of the applications.
⚙️

Optimizing performance

Optimize and enhance the performance of the live streaming player to ensure a seamless user experience.
🐞

Debugging and diagnosing issues

Debug and diagnose qualifications and issues in the online environment, promptly addressing any concerns that arise.

Key criteria

💻

Proficiency in C/C++ or Java

Experience writing and reviewing code in mobile C/C++ or Java.

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🎥

Knowledge of audio and video processing

Understanding of audio and video systems in iOS or Android.

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🔍

Strong problem-solving skills

Demonstrated ability to debug and troubleshoot effectively.

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A meaningful career starts with a match

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5 criteria for this job
Proficiency in C/C++ or Java
Experience writing and reviewing code in mobile C/C++ or Java.

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Knowledge of audio and video processing
Understanding of audio and video systems in iOS or Android.

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Strong problem-solving skills
Demonstrated ability to debug and troubleshoot effectively.

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Experience with automation testing systems
Background in building systems to ensure SDK quality and stability.

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Data analysis for performance improvement
Experience analyzing live streaming data for quality enhancements.

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