Tech Lead(Graph Neural Network System), Cloud

2 weeks ago

Singapore TikTok Full time

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

The Infrastructure NoSQL team supports all mid-platform and business lines in Tiktok, operating across tens of thousands of servers and dealing with data far beyond the PB level. We have self-developed distributed key-value/caching systems, globally distributed tables storage systems and massive graph database products. Combined with the industry's leading hardware and software stack technology, we strive for the continuous evolution of the next generation of NoSQL products.

**Responsibilities**:

- Play a key role in driving project objectives and execution management, architecture design and code reviews, define long term technical roadmap for the team, and demonstrate technical leadership;
- Recruit and mentor engineers of various levels of experience into a performant team, build team culture and cohesion, help team members grow technical capabilities;
- Work closely with stakeholder teams to identify business pain points, continuously optimize and improve customer experience, team reputation, and impact.

**Qualifications**:

- Bachelor's or higher degree in Computer Science or related fields;
- 6+ years of professional software development experience;
- Strong with Golang/Java/Python program development (at least one), pursue high-quality code and focused on code engineering quality;
- Solid knowledge of Linux system, proficient in multi-threading, network programming, and distributed development in any programming language;
- Good communication skills, able to lead and drive projects effectively. Familiar with team and project management methodologies and approaches.

Preferred Qualifications
- Experience in technical management of a software engineering team;
- In-depth research and industry experience in large-scale graph neural network design and implementation, such as DGL/PYG/Euler/GraphLearn/BigGraph, and machine learning frameworks design and implementation, such as Tensorflow, Pytorch, Ray framework;
- Contributor/Committer or PMC of the open-source community is a plus.

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