You are responsible to lead the infrastructure team in Tokyo and proactivly support the infrastructure team in the United States and China. Our infrastructure teams in Tokyo, the United States, and China support the scalable and reliable foundation of the entire content delivery platform of SmartNews that is impacting tens of millions of users globally. Together with your team, you will be supporting the further growth of the company and the product in terms of scalability and reliability of the entire system.
Responsibilities
- Own entire content delivery platform of SmartNews
- Re-architect and build a next-gen infrastructures that can serve services to 100x bigger users base globally
- Own our content serving systems which include news serving systems, real-time metrics streaming/processing systems, and some commonly used systems in the company
- Make strong partnership with product teams and global engineering teams distributed in Tokyo, the United States, and China
Qualifications
- 3+ years of experience in architecting, developing, and shipping software products with large scale (e.g., a distributed systems handling 5M+ daily active users or 10K+ QPS)
- 3+ years of experience in building infrastructure/platform with large scale
- Able to distill complex problems and drive toward creative solutions. Able to have deep end-to-end understanding of sophisticated distributed systems and can proactively detect problems and make improvement suggestions
- Able to build a strong team through hiring, as well as mentoring/growing engineers by constantly challenging them with solid support
- Experience in leading cross team/cross org projects/initiatives
- Strong leadership and communication skills
- MS or BS in computer science, mathematics, or other quantitative fields
- 2+ years experience to manage 4+ members
- Experience to work with multi national members
Preferred Qualifications
- Experience with cloud-based architecture (e.g. Amazon Web Services)
- Strong interest in news media and our mission
- Direct experience in platforms or systems that involves recommendations and where scalability and reliability matters
