Software Engineering (Intern)

Job Description:

Job Description

We are looking for a Software Engineering Intern who is eager to build strong software engineering fundamentals while gaining exposure to AI-enabled development practices.
As an intern, you will work alongside experienced engineers, contribute to real production code, and learn how modern software teams use Java, Spring Boot, and AI tools to build, develop, test, and improve software solutions.
This role is designed to be learning-focused, hands-on, and suitable for interns who want to grow into strong software engineers in a real-world environment.

What you'll need to bring to the role & Experian
As a Software Engineering Intern, your responsibilities may include:
* Contributing to the development and enhancement of backend services and APIs using Java and Spring Boot
* Supporting general software development lifecycle activities, including development, implementation, testing, and supports
* Writing clean, maintainable, and well-tested code under guidance from senior engineers
* Assisting with automation and quality improvements, including test automation where applicable
* Learning how AI-assisted development tools are used to accelerate coding, debugging, and testing workflows
* Collaborating within an Agile development team, participating in stand-ups, sprint planning, and retrospectives

Candidates do not need to meet every requirement - motivation and availability are key

Candidate Requirements:

Qualifications

We're looking for motivated interns with a solid technical foundation and a strong willingness to learn.
Essential:
* Basic to intermediate knowledge of Java
* Understanding of software engineering principles and object-oriented programming
* Exposure to Spring Boot or similar backend frameworks
* Familiarity with software development concepts such as APIs, version control (e.g. Git), and testing
* Enthusiasm for learning and contributing in a collaborative team environment
.AI-Enabled Development Focus
In this internship, you'll be introduced to how modern engineering teams responsibly use AI-assisted tools to:
* Improve development productivity
* Support code understanding and refactoring
* Assist with testing and quality improvements
* Enhance learning and experimentation in a safe, guided way

AI is used as an enabler, not a replacement for strong engineering fundamentals