Tech Lead TikTok Recommendation Developer Infrastructure

TikTok; Singapore; On-site; SGD 115,000 - 155,000; Full time

Job summary

A global technology company in Singapore seeks an experienced professional to design high-performance architectures and build a recommendation system analysis platform. The ideal candidate holds a Bachelor's in Computer Science and has over 5 years in scalable system development. Strong programming skills in C, C++, Java, or Golang are needed, along with effective communication and a sense of ownership. This role emphasizes optimizing existing systems for improved quality and performance.

Qualifications

• At least 5 years of experience building scalable systems.
• Experience with programming languages C, C++, Java, or Golang.
• Strong communication skills and ownership mindset.

Responsibilities

• Design high-performance and flexible architecture.
• Build a recommendation system analysis platform.
• Identify and optimize weak links in existing systems.
• Improve architecture quality and service performance.

Skills

Programming in C

Programming in C++

Programming in Java

Programming in Golang

Effective communication

Ownership and drive

Education

Bachelor's degree in Computer Science or related field

Job description

About the team

Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation system to provide the most stable and best experience for our TikTok users. Due to the big system scale and large engineering community that covers multiple Recommendation products, we invest heavily in the developer infra area, from developer environments and continuous integration / continuous deployment (CI / CD) to frameworks, libraries, and various productivity tools.

Responsibilities

• Provide high-performance, highly available, and flexible architecture design, high-quality code implementation, and continuously improve engineering quality based on product and strategy requirements for complex business scenarios;
• Build a recommendation system analysis platform to provide product-level tool support for problem analysis and debugging;
• Thoroughly comb through existing business systems, identify and optimize weak links in the system, improve the overall architecture quality, service performance, and stability of the system;
• Abstract and precipitate common business architecture based on actual business conditions, improve the degree of basic capability reuse, and better support business rapid iteration.

Minimum Qualifications

• Bachelor's degree or above, majoring in Computer Science, or related fields, with at least 5 years of experience building scalable systems;
• Experience in programming, included but not limited to, the following programming languages: C, C++, Java or Golang;
• Effective communication skills and a sense of ownership and drive;

Preferred Qualifications

• Experienced in at least one area of the following: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus.