Backend Software Engineer, TikTok Data Ecosystem (Storage)

TIKTOK PTE. LTD.; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading social media platform in Singapore is looking for an experienced developer to design and develop components for distributed databases, specifically HBase and RocksDB. Candidates must have a Bachelor's degree in Computer Science or related fields, along with at least 4 years of relevant experience in programming (C/C++/Java) and managing large-scale data. The role offers opportunities for career growth within a dynamic team committed to innovation.

Benefits

Career growth opportunity

Paid leave

Flat organization

Qualifications

• 4+ years of relevant development experience.
• In-depth understanding of distributed systems architecture.
• Experience in managing large-scale data.

Responsibilities

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

Skills

Strong programming ability in C/C++/Java

Enthusiasm for learning new technologies

Problem-solving skills

Education

Bachelor’s Degree in Computer Science or related fields

Tools

HBase

RocksDB

Redis

Job description

About TikTok

TikTok is the leading destination for short-form mobile video. 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.

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. We celebrate our diverse voices and create an environment that reflects the communities we reach.

Job highlights

• Career growth opportunity
• Paid leave
• Flat organization

Responsibilities

TikTok will be prioritizing applicants who have a current right to work in Singapore and do not require TikTok’s sponsorship of a visa.

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:

• Responsible for the design and development of distributed database HBase‑related components.
• Responsible for the design and development of single-node LSM engine RocksDB‑related components.

Qualifications

What you should have:

• Bachelor’s Degree or above, majoring in Computer Science or related fields, with 4+ years of relevant development experience, strong programming ability, and proficiency in C/C++/Java.
• In-depth understanding of the architecture and principles of distributed systems.
• A willingness to tackle challenging problems without clear solutions, strong enthusiasm for learning new technologies, and prior experience in managing large‑scale data.

Preferred Qualifications:

• Embrace the use of open‑source software, with a track record of involvement in open‑source projects and enthusiasm for the latest technologies.
• Knowledge of distributed consensus algorithms such as Paxos/Raft.
• Familiarity with distributed transaction models.
• Proficiency in typical storage engines, including RocksDB, and deep understanding of Redis internals.
• Expertise in low‑level operating system aspects, with a background in optimizing system performance for TCP/IP, I/O operations, and other critical components.