Performance Optimization Architect - TikTok LIVE (Singapore)

About the role

TikTok is looking for a Performance Optimization Architect for its TikTok LIVE team in Singapore. The team owns the end-to-end performance and experience of TikTok LIVE, from discovering live streams to creators going live, and works with R&D, product, operations and infrastructure to solve performance bottlenecks and experience gaps. The role leads cross-domain technical initiatives and shapes the full user journey.

Key responsibilities

• Own end-to-end performance optimization of live streaming and proactively identify issues, designing solutions in areas such as distribution quality and room entry conversion, client-side performance (power consumption, thermal performance, smoothness, stability) and go-live flow and stability for high-traffic scenarios.
• Build and continuously improve an end-to-end performance metrics framework and diagnostic system, turning complex analysis into reusable methodologies and establishing a closed-loop governance model covering measurement, analysis, optimization and validation.
• Act as a key technical leader working with Client, Server, Algorithms, Audio/Video, CDN and Data teams, aligning resources, defining technical roadmaps and driving complex projects to milestones while quantifying their business impact.

Required profile

• Deep technical expertise and architectural perspective, with hands-on experience in at least one domain (client, backend, networking, audio/video, etc.) and proven ability to tackle complex technical challenges.
• Strong data analysis and structured thinking, able to find root causes in large-scale data and turn insights into clear, actionable decisions.
• Goal-oriented, with strong ownership, execution and resource coordination skills, and excellent written communication.

Preferred qualifications

• Experience with audio and video technologies: capture, encoding/decoding, processing and rendering.
• Familiarity with networking and transport protocols such as QUIC, WebRTC and HTTP/3.
• Knowledge of CDN architecture and intelligent scheduling strategies.
• Experience optimizing client power consumption, memory usage, smoothness and stability.