Graduate Backend Engineer — Real-Time Graph Data

TikTok; San Jose (CA); Sur place; USD 128 000 - 256 000; Plein temps

Résumé du poste

TikTok is seeking a talented graduate to join the Social Foundation team in San Jose as part of a backend engineering cohort. You will design and implement high-performance storage and processing for trillion-scale graph data, building distributed engines and a real-time graph mining platform to inform recommendations and product strategies.

Successful candidates have a Bachelor’s degree in CS, experience with backend services for large-scale apps, and proficiency in Go, Java, C++, or Python,

Qualifications

• Bachelor's degree in computer science or a related discipline.
• Experience building backend services for large-scale consumer-facing applications.
• Proficiency in Go, Java, C++, or Python.
• Deep understanding of computer architectures, data structures, and algorithms.
• Strong communication and teamwork skills.

Responsabilités

• Design and implement high-performance backend services for trillion-scale social graph data.
• Develop distributed graph database engines with billions of vertices and trillions of edges.
• Build a real-time graph mining platform for social relationships and patterns.
• Lead integration of the Social Graph with core systems to support recommendations, search, and risk control.

Connaissances

Go

Java

C++

Python

Formation

Bachelor's degree in computer science or related discipline

Description du poste

TikTok is seeking a talented graduate to join the Social Foundation team in San Jose as part of a backend engineering cohort. You will design and implement high-performance storage and processing for trillion-scale graph data, building distributed engines and a real-time graph mining platform to inform recommendations and product strategies.

Successful candidates have a Bachelor’s degree in CS, experience with backend services for large-scale apps, and proficiency in Go, Java, C++, or Python,