Apply Now, Backend Software Engineering Intern - Undergraduate

Role Summary: Join the Personalization engineering team at Sony Interactive Entertainment (SIE) and gain hands-on experience developing the backend systems that help millions of PlayStation players discover games, content, and experiences tailored to their interests. Our team builds and maintains large-scale services that use player data, business logic, and machine learning models to power personalized recommendations and content discovery across the PlayStation ecosystem. As a Software Engineering Intern, you'll work alongside experienced engineers to design, develop, and improve scalable backend services. You'll gain practical experience with distributed systems, cloud technologies, and modern software development while contributing to projects that support personalized player experiences. Through mentorship and regular feedback, you'll strengthen your technical skills and learn how engineering teams build and operate reliable systems at scale. What You’ll Be Doing:

• Design, develop, and improve backend services that power personalized recommendations and content discovery across PlayStation.
• Build and integrate APIs, microservices, and data processing components within distributed systems.
• Collaborate with engineers to design, test, and deploy scalable software solutions that support performance and reliability.
• Participate in technical design discussions, code reviews, sprint planning, demos, and deployment activities to gain experience with the full software development lifecycle.
• Work with engineers, product managers, and cross-functional teams to understand requirements and develop practical technical solutions.
• Analyze existing systems and processes, identify opportunities for improvement, and propose solutions that enhance efficiency and performance.
• Present your work, share technical learnings, and contribute to team discussions while developing your communication and collaboration skills.
• Gain hands-on experience with cloud technologies, data processing, CI/CD, and how machine learning models support personalized experiences.

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