Intern, Software Engineer
Summary
Software Engineer Intern on Grab's Commercial Systems team in Singapore (onsite at the One North office), contributing to one of five tracks: backend, full-stack, data engineering, data science, or AI automation. The team builds apps, integrations, data pipelines, and workflow solutions around Salesforce and Grab's commercial operations systems.
Get to Know the Team
The Commercial Systems team builds and operates software and data systems that support Grab's commercial operations. The team manages Salesforce and develops applications, integrations, and workflow solutions in partnership with business, product, and engineering teams. Its work helps commercial teams manage partner interactions and day-to-day processes.
Get to Know the Role
As a Software Engineer Intern, you will contribute to engineering projects in one of five areas: Backend Engineering, Full-Stack Engineering, Data Engineering, Data Science, or AI Automation.
Your work will depend on your assigned track and may include developing and testing software, data pipelines, or automation solutions. You will report to an Engineering Manager and work onsite at Grab's One North office in Singapore.
The internship will give you practical experience applying your technical foundations to team projects, with opportunities to learn through collaboration and code reviews. If you're ready to apply your skills to real engineering work, we encourage you to apply.
The Critical Tasks You Will Perform
- You will design and develop applications, services, data pipelines, or automation solutions aligned with your assigned engineering track.
- You will work with Product Managers, Designers, and Engineers to clarify requirements and translate them into scoped technical work.
- You will participate in code or design reviews and apply feedback to improve the quality, maintainability, and security of your work.
- You will document technical designs, application logic, system components, or data flows relevant to your project.
- You will investigate bugs, performance issues, or production incidents and work with the relevant engineers to resolve them.
- You will use approved AI tools for activities such as code exploration, testing, documentation, or analysis, and review their outputs for accuracy and suitability.
