Backend Software Engineer

2 weeks ago


Singapur, Singapore TikTok Full time
Team Introduction

TikTok RTC is a world-leading Real-Time Communication service that provides instant and quality multimedia interaction among our customers across the globe.

TikTok Live is a cutting edge streaming media technical team which provides a giant amount of live services to our customers.

Live event team is comprised of Priority Event Reinsurance and Diagnosis big data applications which drive the efficiency and perfection of Tiktok.

Working in this team, you will have the opportunity to tackle the challenges of advanced audio/video algorithm design and global large-scale network deliveries while leveraging your expertise in coding, algorithms, data analysis, and large-scale system design.

Responsibilities- Design, build and maintain a global scale, multi-regional systems and platforms- Responsible for the design and development of integration with other systems in the big data area- Uphold excellent engineering practices in the codebase and system designs- Design and implement the priority event and diagnosis system to work effectively among data centers- Collaborate with internal product and engineering teams

Minimum Qualifications:

  • Bachelor's degree in Computer Science or a related technical background involving software/system engineering, or equivalent 3+ working experience.
  • Strong Computer Science fundamentals (algorithms, data structures, software design) and problem-solving skills in designing, analyzing, and troubleshooting large-scale distributed systems.
  • Solid programming experience with at least one of the following languages: C, C++, Java, Go.
  • Experience with diagnosing failures and optimizing performance in large-scale systems.
  • Strong verbal and written communication skills
  • Strong analytical and critical thinking skills

Preferred Qualifications:

  • 5+ years of experience building and developing large-scale infrastructure, distributed systems or networks, and/or experience with computer technologies, storage, and/or hardware architecture.
  • Hands-on Experience in Big Data stack(Hadoop, M/R, Hive, Spark, Metastore, Presto, Kafka, ClickHouse, Flink
  • Experience with building large-scale data processing infrastructure.
  • Experience with diagnosis and governance related projects on PB-level data volume.
  • Experience with WebRTC, CDN, Live Streaming and Multimedia is a bonus.


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