Senior Real-Time Distributed Media Engineer

TikTok; San Jose (CA); On-site; USD 218,000 - 480,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Paid parental leave

Wellbeing benefits

10 holidays per year

10 sick days per year

17 days Paid Personal Time

Job summary

TikTok is seeking a senior engineering leader for the Media Network team in San Jose, tasked with building a real-time distributed media platform supporting live streaming and RTC for billions of users.

You will drive stability, cost optimization, and quality improvements across large-scale infrastructure, while collaborating with multiple teams to standardize deployments, DR, and operational best practices.

Qualifications

• Bachelor’s degree required.
• Proficiency in at least one programming language (Golang, C, C++, Java, or Python).
• 5 years of hands-on experience with large-scale production infrastructure.
• Strong understanding of live streaming techniques, CDN architectures, and multimedia processing.

Responsibilities

• Stability enhancements: design resilient, decoupled systems and implement automated recovery and failover.
• Cost optimization: analyze infrastructure usage, drive storage/compute efficiency, monitor costs.
• Quality improvements: address playback performance, security, and lifecycle management; monitor quality metrics.
• Cross-team collaboration: work with multiple teams, establish SOPs for deployments and DR, drive coordination across teams.

Skills

Golang

C

C++

Java

Python

Live streaming knowledge

Cost optimization

System performance analysis

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Job description

TikTok is seeking a senior engineering leader for the Media Network team in San Jose, tasked with building a real-time distributed media platform supporting live streaming and RTC for billions of users.

You will drive stability, cost optimization, and quality improvements across large-scale infrastructure, while collaborating with multiple teams to standardize deployments, DR, and operational best practices.