Software Engineering Intern - Build Scalable Payments Apps

Visa; Singapore; On-site; SGD 20,000 - 27,000; Full time

Job summary

Visa is seeking a Software Engineering Intern for its 2027 Summer Internship Program in Singapore. This 12-week internship offers hands-on experience across the entire software development lifecycle, with emphasis on modern engineering practices, usability, reliability, and scalable solutions.

The role focuses on AI-enhanced workflows, cloud-native platforms, and collaborative, cross-functional teamwork. Applicants should be penultimate year undergraduates in CS/Computing/IS, available full-time

Qualifications

• Penultimate year undergraduate students graduating between December 2027 - June 2028.
• Able to work full-time for 12 weeks between May 2027 and August 2027.
• Pursuing a degree in Computer Science, Computing, Information Systems, or a related field.

Responsibilities

• Contribute to all phases of the Software Development Lifecycle, from requirements gathering and design to development, testing, deployment and support.
• Build and improve software solutions using modern engineering practices, including CI/CD, automated testing, observability and secure development.
• Translate customer and business problems into effective technical solutions with a strong focus on usability, reliability and scalability.
• Learn and apply best practices in software engineering, UI/UX design and AI-enhanced development workflows.
• Experiment with emerging technologies, including AI-powered engineering tools, cloud-native platforms and distributed systems concepts.

Skills

C

C++

Python

Java

Go

JavaScript

HTML

Education

Computer Science

Information Systems

Computing

Job description

Visa is seeking a Software Engineering Intern for its 2027 Summer Internship Program in Singapore. This 12-week internship offers hands-on experience across the entire software development lifecycle, with emphasis on modern engineering practices, usability, reliability, and scalable solutions.

The role focuses on AI-enhanced workflows, cloud-native platforms, and collaborative, cross-functional teamwork. Applicants should be penultimate year undergraduates in CS/Computing/IS, available full-time