Backend Software Engineer - TikTok LIVE (Data Platform) - Singapore

Description

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.

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

Requirements

Minimum Qualifications:
- As a world-class engineer, you have rich working experience in scalable, highly available, distributed and mission-critical systems.
- Deep understanding of computer architectures, data structures and algorithms.
- Able to work closely with diverse stakeholders and have good communication skills
- Self-driven, positive, cooperative and willing to keep learning enthusiasm at all times

Preferred Qualification:
- Minimum 3 years relevant work experience from a large-scale internet business