Software Engineer, Scalable Data & Recommendation Systems

TikTok Inc.; San Jose (CA); On-site; USD 128,000 - 317,000; Full time

Benefits offered by this job

Medical, dental and vision insurance

401(k) with company match

Paid time off and holidays

Job summary

TikTok Inc. in San Jose is seeking a data architecture expert to design and optimize the offline data architecture for our recommendation system, ensuring a stable, high-performance environment for millions of users.

You will build scalable storage and computing systems, troubleshoot production issues, and advance data mining, NLP and machine learning to transform raw data into meaningful insights and actionable reports for the platform.

Qualifications

• Bachelor's degree or higher in computer science, software engineering, or a related field.
• Experience with open source big data frameworks (Hadoop, Hive, Flink, Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch).
• Proficiency in Java, C++ and other programming languages; solid coding and troubleshooting abilities.

Responsibilities

• Design and implement offline data architecture for large-scale recommendation systems.
• Design scalable, stable, high-performance storage and computing systems.
• Troubleshoot production system issues and build tools to ensure overall system stability.
• Develop distributed storage and compute infrastructure for massive data and large-scale applications.
• Apply data mining, data modelling, NLP, and machine learning to extract and analyze information from large datasets.
• Visualise, interpret, and report data findings; create dynamic data reports as needed.

Skills

Java

C++

Troubleshooting

Education

Bachelor's degree in computer science or related field

Tools

Hadoop

Hive

Flink

FlinkSQL

Spark

Kafka

HBase

Redis

RocksDB

ElasticSearch

Job description

TikTok Inc. in San Jose is seeking a data architecture expert to design and optimize the offline data architecture for our recommendation system, ensuring a stable, high-performance environment for millions of users.

You will build scalable storage and computing systems, troubleshoot production issues, and advance data mining, NLP and machine learning to transform raw data into meaningful insights and actionable reports for the platform.