Senior Software Engineer, Media Network Global Engineering - Live Streaming

Senior Software Engineer, Media Network Global Engineering - Live Streaming

Location:

San Jose

Employment Type:

Regular

Job Code: A229495

About the Team:
The Media Network team is building an industry‑leading real‑time media distributed system that plays a critical role in Tik Tok’s live streaming and RTC scenarios. Serving billions of users worldwide, our network is among the largest real‑time media networks globally. Join the Media Network team to work on large-scale distributed systems and help deliver an exceptional real‑time media experience to Tik Tok users.

• Stability Enhancement
  • Design and implement resilient, decoupled systems to minimize single points of failure and improve overall system reliability.
  • Implement automated recovery and failover mechanisms to ensure continuous service availability during incidents.
  • Establish and enforce change management processes to reduce risks associated with configuration changes and prevent outages.
• Cost Optimization
  • Analyze infrastructure usage and spending to identify key cost drivers and opportunities for savings.
  • Lead initiatives to optimize resource allocation, including storage and compute efficiency, to maximize efficiency and reduce expenses.
  • Monitor and control infrastructure costs to prevent waste and ensure budget adherence.
• Quality Improvement
  • Identify and address issues impacting service quality and user experience, such as playback performance and content lifecycle management.
  • Implement security measures to protect systems from common threats and vulnerabilities.
  • Collaborate with teams to monitor quality metrics and drive continuous improvements.
• Cross-Team Collaboration
  • Partner with multiple teams to align objectives and deliver integrated solutions.
  • Develop and maintain standard operating procedures for deployments, disaster recovery, and operational best practices.
  • Facilitate process improvements to enhance coordination, efficiency, and accountability across teams.

• Minimum Qualifications
  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • Proficiency in at least one programming language such as Golang, C, C++, Java, or Python.
  • Strong experience in analyzing and optimizing complex systems, focusing on cost-effectiveness, stability, and quality.
  • Solid understanding of live streaming technologies, CDN architectures, and multimedia processing.
  • 5 years of hands on experience working with large-scale, production-level infrastructure.
• Preferred Qualifications
  • Excellent troubleshooting and problem-solving skills with the ability to quickly identify and resolve complex issues.
  • Strong communication and collaboration skills to work effectively across diverse functional teams.
  • Ability to thrive in a dynamic, fast-paced environment and adapt to changing priorities.

The base salary range for this position in San Jose is $212,800 - $450,000 annually.

Additional compensation may vary outside of this range depending on factors such as a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the…