Backend Stability & AI Infra Intern

ByteDance

Singapore

On-site

SGD 13,000 - 20,000

Full time

12 days ago
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Job summary

ByteDance is seeking backend engineers for an internship to help build AI-driven infrastructure and strengthen system architecture, scalability, and reliability across large-scale platforms. You will design and operate robust backend foundations powering intelligent systems in production, including platform architecture, observability, performance optimization, and automation.

The internship offers hands-on experience, industry exposure, and opportunities to apply knowledge to real-world

Qualifications

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline.
  • Strong programming skills in one or more languages such as Java, Go, C++, or Python.
  • Solid foundation in data structures, algorithms, operating systems, networking, and databases.

Responsibilities

  • Design and develop backend infrastructure systems to improve the stability and reliability of the Global Payment platform.
  • Build and optimize monitoring, observability, and automation capabilities for large-scale distributed systems.
  • Collaborate with SRE, payment product, and cross-functional engineering teams to identify and resolve system reliability issues.
  • Participate in architecture design discussions and contribute to engineering standards for infrastructure components.
  • Analyze system performance metrics and drive continuous improvements in service availability and resilience.

Skills

Java
Go
C++
Python
Data structures
Algorithms
Operating systems
Networking

Education

Bachelor's or Master's degree in Computer Science or Software Engineering

Job description

ByteDance is seeking backend engineers for an internship to help build AI-driven infrastructure and strengthen system architecture, scalability, and reliability across large-scale platforms. You will design and operate robust backend foundations powering intelligent systems in production, including platform architecture, observability, performance optimization, and automation.

The internship offers hands-on experience, industry exposure, and opportunities to apply knowledge to real-world

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