Big Data Engineer - TikTok Recommendation Architecture

TIKTOK PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Positive team atmosphere

Career growth opportunity

Paid leave

Job summary

TikTok PTE. LTD. is seeking a Senior Software Engineer for its Recommendation Architecture Team in Singapore.

You will design and implement large-scale data processing systems to support the recommendation engine, ensuring stability, scalability, and cost efficiency across offline data workflows and online services. The role emphasizes building high-performance storage and computing systems, applying data mining and ML techniques, and collaborating with cross-functional teams to drive product

Qualifications

• Bachelor’s degree or higher in CS/SE or related field.
• Familiar with open source big data frameworks (Hadoop, Hive, Flink, Spark, Kafka, HBase, Redis, RocksDB, Elasticsearch).
• Proficiency in Java, C++, and other programming languages.
• Strong coding and troubleshooting abilities.

Responsibilities

• Design and implement large-scale data processing systems for recommendation workloads.
• Build scalable, high-performance storage and compute infrastructure.
• Troubleshoot production systems and ensure overall stability of operations.
• Develop data analytics and ML-oriented components to extract insights from large datasets.
• Contribute to architecture decisions for offline data processing and real-time services.

Skills

Java

C++

Coding

Troubleshooting

Education

Bachelor's degree or above in computer science, software engineering, or related field

Tools

Hadoop

Hive

Flink

Spark

Kafka

HBase

Redis

RocksDB

ElasticSearch

Job description

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Job highlights

• Positive team atmosphere
• Career growth opportunity
• Paid leave

Responsibilities

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.

The team is responsible for system stability and high availability, online services and offline data flow performance optimization, solving system bottlenecks, reducing cost overhead, building data and service mid-platform, realizing flexible and scalable high-performance storage and computing systems.

Responsibilities

• - Design and implement a reasonable offline data architecture for large-scale recommendation systems
• - Design and implement flexible, scalable, stable and high-performance storage and computing systems
• - Trouble-shooting of the production system, design and implement the necessary mechanisms and tools to ensure the stability of the overall operation of the production system
• - Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive data and large-scale business systems
• - Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software
• - Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• - Visualise, interpret, and report data findings and may create dynamic data reports as well

Qualifications

Minimum Qualifications

• - Bachelor's degree or above in computer science, software engineering, or a related field
• - Familiar with many open source frameworks in the field of big data, e.g.Hadoop, Hive,Flink, FlinkSQL,Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch etc.
• - Familiar with Java, C ++ and other programming languages
• - Strong coding and trouble shooting ability