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Frontend Software Engineer - Global Live(Revenue)-Singapore

Summary

Builds and maintains frontend features for TikTok Live’s global gifting and revenue systems across PC and mobile, focusing on intuitive, secure UX for millions of users.

Roles & Responsibilities

TikTok Live Revenue Team is responsible for building the cutting‑edge revenue ecosystem which includes gifting and other revenue features that are innovative, secure, and intuitive for our users. The product has a global impact with millions of users and live streamers.

  1. Develop user interfaces for TikTok Live on PC/Mobile Devices, including middle platform, operating platform, products for users, and events with multi‑scales.
  2. Develop infrastructures such as engineering solutions that support TikTok Live’s business and productivity tools and platforms.
  3. Create the ultimate user experience and support the growth and development of the TikTok Live Ecosystem with high‑quality design and coding.
  4. Explore and implement efficient collaboration methods to enhance the efficiency of remote and cross‑regional communication and support the iteration of our business.

Minimum Qualifications

  • Computing related major, bachelor degree.
  • Proficient in front‑end technologies such as JavaScript/HTML/CSS, understand the operating principle of the browser, and be able to develop independently without front‑end libraries.
  • Familiar with front‑end mainstream frameworks, JS libraries and related ecological tools, such as React/Vue/AngularJS, etc., understand their design principles and application scenarios.
  • Familiar with front‑end engineering and modularisation development, and have experience in large‑scale application development and maintenance.
  • Familiar with various front‑end related debugging and testing tools, and have independent problem‑solving skills.

Preferred Qualifications

  • More than 3 years of front‑end experience.
  • Familiar with front‑end and back‑end collaboration mode, have good abstract thinking, and have a certain understanding of algorithms and data structure.

See also