Backend Software Engineer Graduate (Global Live Data Platform) - 2026 start (BS/MS)
TikTok
Posted about 11 hours ago
About this role
With the enormous growth of live streaming in recent years, our mission is to inspire real-time interactions and help live streamers connect to people from all corners of the globe.
We are looking for passionate and talented engineers to join us to build and optimize a real-time, high-performance, large-scale distributed infrastructure for live streaming in TikTok. You will be deeply involved in the developmental lifecycle of critical product features and collaborate closely with product managers to deliver the best live streaming experience for all live streamers and audience alike.
TikTok Live Data Platform is building the Index Platform, Label Platform, Portrait Platform, Diagnostic Platform, Data Asset Management Platform, Data Suite and in-place solutions for business. Which involves compute(Streaming processing, Offline pipeline) and storage(OLAP: Clickhouse/Doris, KV store). Now we're supporting end-users TikTok app and Agency's Backstage data applications, enhancing internal platforms with data suites, analysis, diagnosis. We're always encouraging R&D to deliver tech-driven projects to enrich business with insights from data.
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
You will:
- Plan and lead large-scale technical projects to lay the foundation for the iterative development and scale of early products
- Develop robust, efficient technology products that serve 1 billion users
- Contribute to engineering strategy, tooling, processes, and culture
- Research and apply cutting-edge domain and technical knowledge into products
We are looking for passionate and talented engineers to join us to build and optimize a real-time, high-performance, large-scale distributed infrastructure for live streaming in TikTok. You will be deeply involved in the developmental lifecycle of critical product features and collaborate closely with product managers to deliver the best live streaming experience for all live streamers and audience alike.
TikTok Live Data Platform is building the Index Platform, Label Platform, Portrait Platform, Diagnostic Platform, Data Asset Management Platform, Data Suite and in-place solutions for business. Which involves compute(Streaming processing, Offline pipeline) and storage(OLAP: Clickhouse/Doris, KV store). Now we're supporting end-users TikTok app and Agency's Backstage data applications, enhancing internal platforms with data suites, analysis, diagnosis. We're always encouraging R&D to deliver tech-driven projects to enrich business with insights from data.
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
You will:
- Plan and lead large-scale technical projects to lay the foundation for the iterative development and scale of early products
- Develop robust, efficient technology products that serve 1 billion users
- Contribute to engineering strategy, tooling, processes, and culture
- Research and apply cutting-edge domain and technical knowledge into products