Software Engineer (Big Data) - Application Computing

Software Engineer (Big Data) - Application Computing at TikTok in Singapore.

Responsibilities

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.

• 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.

Requirements

• Proficient in programming languages like Java, C++, Scala, Python.
• Strong coding and troubleshooting skills.
• At least 5 years of relevant experience
• Deep understanding of streaming computing systems, with formal production experience in developing TB-level Flink real-time computing systems. Proficient in modules like FlinkDataStream, FlinkSQL, FlinkCheckpoint, FlinkState, and preferably with experience in reading Flink source code.
• Experience in data lake development is preferred. Familiar with at least one data lake technology such as Hudi, Iceberg, DeltaLake, and preferably with experience in reading their source code.
• Willingness to tackle problems without clear answers, with a strong passion for learning new technologies.

Preferred Qualifications

• Experience in handling PB-level data is a plus.
• Familiarity with other big data systems is preferred, including YARN, K8S, Spark, SparkSQL, Kudu, and others.
• Experience in storage systems such as Hbase, Cassandra, RocksDB.

About the Company

The Global Business Solutions (GBS) team is responsible for the revenue growth of the TikTok business, and our teams include Sales, Marketing, Ops, Account Managers, Agency and partnerships, as well as Marketing Science.

At TikTok, our Global Business Solutions (GBS) team plays a key role in generating revenue by promoting our advertising solutions, onboarding new clients, driving ad campaigns, and more. As the TikTok community grows at an unprecedented speed around the world, our GBS team leads groundbreaking projects that are changing the landscape of the advertising industry in real time.

We're seeking an analytically driven, and detail-oriented Client Solutions Manager (CSM) Intern to join our Ecommerce Team. As a CSM, you will partner closely with Client Partners and Client Solutions Managers to drive revenue by identifying opportunities, leveraging data insights, and delivering consultative solutions for advertisers.

This role centers on client education, relationship growth, data analysis, and campaign success. You will provide strategic recommendations to both clients and internal teams, ensuring campaigns achieve business objectives while optimizing long-term partnerships. Success in this role requires strong data analytics skills, adaptability in a fast-paced environment, and a test-and-learn mindset to uncover the best solutions.