Backend Software Engineer Project Intern (Corporate Service System) - 2026 Start (BS/MS)
Role Overview
The project intern will work on impactful short-term projects and gain practical experience through on-the-job learning.
The Corporate Service System team builds product solutions to improve management efficiency and staff-services user experience, including decision-making platforms and workplace services.
The internship requires a commitment of at least three months.
Applications are reviewed on a rolling basis.
Key Skills for This Role
Full Job Posting
Internship and team
The project intern will work on impactful short-term projects and gain practical experience through on-the-job learning.
The Corporate Service System team builds product solutions to improve management efficiency and staff-services user experience, including decision-making platforms and workplace services.
The internship requires a commitment of at least three months.
Applications are reviewed on a rolling basis.
Responsibilities
- Assist in designing, developing, testing, and deploying software solutions.
- Write clean, efficient, maintainable code following best practices.
- Collaborate with engineers to solve technical challenges.
- Participate in code reviews, debugging, and performance optimization.
- Develop and maintain technical documentation.
- Work with product managers, designers, and quality assurance teams to deliver high-quality features.
Minimum qualifications
- Currently pursuing an undergraduate or master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Proficient in at least one programming language, such as Golang, Java, C++, or Python.
- Understand data structures, algorithms, and software development principles.
- Experience with version control such as Git, SQL or NoSQL databases, and cloud services such as AWS or Azure.
- Strong problem-solving skills and willingness to learn.
Preferred qualifications
- Experience with AI, Machine Learning, or Large Language Models.
- Familiarity with Spring Boot, TensorFlow, PyTorch, or Hugging Face.
- Knowledge of DevOps, CI/CD, or containerization tools such as Docker or Kubernetes.
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