Backend Software Engineer Graduate (Analytical Database) - 2026 Start (BS/M at ByteDance
Singapore, , Singapore -
Full Time


Start Date

Immediate

Expiry Date

30 Oct, 25

Salary

0.0

Posted On

01 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Structures, Databases, C++, C, Probability, Database Systems, Computer Science, Software Development, Python, Algorithms, Java, Computer Engineering, Operating Systems

Industry

Computer Software/Engineering

Description

QUALIFICATIONS

Minimum Qualifications:- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.- Solid foundation in computer science fundamentals including operating systems, databases, algorithms, data structures, networking, probability and statistics.- Possess excellent coding skills and proficiency in at least one programming language, including but not limited to C, C++, Java, Python or Golang.- Familiarity with distributed algorithms and database systems.Preferred Qualifications:- Experience in database kernel development, or display a strong desire to work in this field.- Publication of research papers on distributed systems/database engineering or contributions to open-source projects in the big data community are a plus.- Basic understanding of AI/LLM technologies such as large language model principles, prompt engineering, and machine learning fundamentals.- Practical experience combining AI and databases, such as using machine learning to optimize query performance, is a plus.By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacyIf you have any questions, please reach out to us at apac-earlycareers@bytedance.com

Responsibilities

Team IntroductionByteDance is developing the next-generation high-performance analytical database, with a mission to enable efficient and real-time data-driven decision-making on PB-level data sets. The initial product was forked from Clickhouse, after which large re-architecture had been taken place. The product now not only improves the efficiency of Clickhouse but also fits into the elastic cloud-native infrastructure with better scalability and resource utilization. With years of polishment in the internal EB-level scenarios, we are now ready to serve our business partners via various cloud vendors.We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at ByteDance.Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates’ jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.Responsibilities:- Responsible for the design and implementation of industry-leading distributed database systems using cloud-native architecture.- Conduct deep dive analysis and optimisation of underlying systems and engine components, to address issues related to availability and performance of large-scale production clusters.- Design and build high-performance systems from zero to one, integrating hardware and software design to build an ultimate system with understanding of the business and cloud-native architecture.- Stay updated with cutting-edge database technologies; identify opportunities for the implementation of new technologies including new hardware, intelligent optimizers, and lakehouse architectures.- Explore and implement integration of AI/LLM technologies with databases, including areas such as multimodal data analysis, AI-driven database operations and maintenance automation, and AI Agent-based intelligent assistants.

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