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, Meals provided, Competitive compensation

Responsibilities

About the Team

The Data Management Suite team is building products that cover the whole lifecycle of data pipeline, including data ingestion and Integration, data development, data catalog, data security and data governance. These products support various businesses, so data engineers and data scientists could greatly boost their productivity.

As a software engineer in the data management suite team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on core systems in the data platform ecosystem. Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users.

Responsibilities:

- Design and implement a unified data development platform that improves the efficiency of globalization data producers, which includes intelligence IDE, workflow management, multiple engine integration etc.

- Figure out efficient ways to manage distributed states, and sync metadata between centralized place and regions globally.

- Design and develop a high-performance and distributed scheduling system that manages large-scale tasks across different business lines in whole ByteDance.

- Work closely with partner teams across the company and all over the world.

- Responsible for the design and development of integration with other systems in the big data area.

Qualifications

Minimum Qualifications:

- Bachelor's degree in Computer Science or equivalent practical experience.

- 3 years of experience in software development, and with data structures/algorithms.

- 3 years of experience with design and architecture, and testing and launching software products.

- 2 years of experience in data management systems, have experience of building big data development platforms, data catalog platforms, or data transfer platforms.

Preferred Qualifications:

- 3 years of experience building and developing large-scale infrastructure, distributed systems or networks, and/or experience with compute technologies, storage, and/or hardware architecture.

- 3 years of experience working in a complex, matrixed organization involving cross-functional, and/or cross-business projects. - Experiences in data platform related product development or big data technologies (such as Hadoop, Clickhouse, Flink etc.).