Backend Software Engineer - TikTok Data Ecosystem (Storage)

TIKTOK PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Benefits offered by this job

Career growth opportunity

Paid leave

Flat organization

Job summary

TikTok PTE. LTD. in Singapore is seeking a software engineer to join the TikTok Data Ecosystem Team. You will design and implement distributed database components built around HBase, and develop a single-node LSM engine using RocksDB.

The role emphasizes reliability, performance, and collaboration with a global engineering team; prior experience with storage engines, distributed systems, and big data technologies like Kafka and Hadoop is valuable.

Qualifications

• Bachelor's degree in Computer Science or related field.
• Proficiency in C/C++/Java.
• 2+ years in storage engines, resource management, system tuning, capacity planning (RocksDB, Redis).
• 2+ years experience in distributed systems and big data tech like Kafka and Hadoop.

Responsibilities

• Design and develop distributed database HBase-related components.
• Design and develop single-node LSM engine RocksDB-related components.

Skills

C/C++/Java

Distributed systems

Big data

Open-source

Paxos/Raft

Distributed transactions

OS performance

Education

Bachelor's degree in Computer Science or related

Tools

RocksDB

Redis

Kafka

Hadoop

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

• Career growth opportunity
• Paid leave
• Flat organization

Responsibilities

About The Team

The TikTok Data Ecosystem Team has the vital role of crafting and implementing a storage solution for offline data in TikTok's recommendation system, which caters to more than a billion users. Their primary objectives are to guarantee system reliability, uninterrupted service, and seamless performance. They aim to create a storage and computing infrastructure that can adapt to various data sources within the recommendation system, accommodating diverse storage needs. Their ultimate goal is to deliver efficient, affordable data storage with easy-to-use data management tools for the recommendation, search, and advertising functions.

What you will be doing:

• 1. Responsible for the design and development of distributed database Hbase-related components.
• 2. Responsible for the design and development of single-node LSM engine Rocksdb-related components.

Qualifications

Minimum Qualifications:

• - Bachelor's Degree or above, majoring in Computer Science, or related fields,
• - Proficiency in one of C/C++/Java;
• - 2+ years of relevant development experience in storage engines resource management, system tuning, capacity planning (e.g., RocksDB, Redis)
• - 2+ years experience in distributed systems and big data technology like Kafka and Hadoop

Preferred Qualifications:

• - Embrace the use of open-source software, possess a track record of involvement in open-source projects, and demonstrate a keen enthusiasm for engaging with the latest and most advanced technologies.
• - Exhibit knowledge in distributed consensus algorithms like Paxos/Raft.
• - Show familiarity with distributed transaction models.
• - Demonstrate proficiency in typical storage engines, including RocksDB, and have a deep understanding of the inner workings of Redis at the low-level code level.
• - Display expertise in low-level aspects of operating systems, with a background in optimizing system performance for TCP/IP, I/O operations, and other critical component