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About this role
Full Time Mid-level Software Engineer (Big Data) - Application Computing in e-commerce at TikTok in Singapore, Singapore. Apply directly through the link below.
At a glance
- Work mode
- Office
- Employment
- Full Time
- Location
- Singapore, Singapore
- Experience
- Mid-level
Core stack
- High Availability
- Computer Science
- Infrastructure
- Architecture
- Performance
- Distributed
- Design
Quick answers
What skills are required?
High Availability, Computer Science, Infrastructure, Architecture, Performance, Distributed, Design.
TikTok is hiring for this role. Visit career page
Singapore, Singapore
Team Introduction
TikTok's Recommendation Architecture Team is responsible for real-time computing direction, handling the design and development of real-time computing systems for TikTok videos, live streams, e-commerce, and a billion-user product recommendation system. Their main focus is ensuring system stability and high availability. They abstract general real-time computing systems, build a unified recommendation feature middleware, and implement a flexible and scalable high-performance storage system and computing model. This enables advanced real-time data systems for deduplication, counting, feature services, and other recommendation-related business needs.
Responsibilities:
- Design and implement real-time (streaming computing) data systems for large-scale recommendation systems.
- Create flexible, scalable, stable, and high-performance storage systems and computing models.
- Troubleshoot production system failures, design and implement necessary mechanisms and tools to ensure overall stability of the production systems
- Construct industry-leading streaming computing frameworks and other distributed systems to provide reliable infrastructure for massive data and large-scale business systems
- Research, design, and develop computer and network software or specialised utility programs.
- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.
- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.
- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.
TikTok's Recommendation Architecture Team is responsible for real-time computing direction, handling the design and development of real-time computing systems for TikTok videos, live streams, e-commerce, and a billion-user product recommendation system. Their main focus is ensuring system stability and high availability. They abstract general real-time computing systems, build a unified recommendation feature middleware, and implement a flexible and scalable high-performance storage system and computing model. This enables advanced real-time data systems for deduplication, counting, feature services, and other recommendation-related business needs.
Responsibilities:
- Design and implement real-time (streaming computing) data systems for large-scale recommendation systems.
- Create flexible, scalable, stable, and high-performance storage systems and computing models.
- Troubleshoot production system failures, design and implement necessary mechanisms and tools to ensure overall stability of the production systems
- Construct industry-leading streaming computing frameworks and other distributed systems to provide reliable infrastructure for massive data and large-scale business systems
- Research, design, and develop computer and network software or specialised utility programs.
- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.
- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.
- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.
Job details
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