Software Engineer Intern

About The Team

Machine learning (ML) and artificial intelligence (AI) are transforming how we play, create, and connect. At SIE, we’ve been investing in ML/AI for years, building a strong foundation to support innovation across PlayStation experiences. Behind every breakthrough lies great data—its availability, reliability, and usability—and that’s where the Data Plumber team comes in.

We ensure data flows securely and efficiently from end to end, making it ready for any ML application. Every day, we manage terabytes of data streaming from consoles (PS4, PS5) and external devices into our Data Platform and Warehouses for analytics, machine learning, and AI.

As an intern, you’ll help design, automate, and optimize the data pipelines that power PlayStation’s ML capabilities. You’ll gain real-world experience with modern data engineering principles like Data Mesh and Data Fabric, working on our next-generation data streaming platform.

You’ll play a meaningful role in enabling how PlayStation uses data to power insights, personalization, and innovation. This internship offers a hands-on opportunity to learn how large-scale data systems support one of the most beloved entertainment ecosystems in the world.

What You’ll Do

• Build and support automation use cases for data pipelines.

• Help customers onboard, publish, and consume events through the data streaming platform.

• Monitor and troubleshoot issues flagged by automation, alerts, or customers.

• Collaborate with engineers to automate processes and improve data flow efficiency.

• Support testing and validation to ensure solution reliability and performance.

• Contribute to documentation, including design specifications and development guidelines.

• Participate in code reviews to learn and share best practices.

• Explore tools and technologies used in metadata activation and data management.

• Assist in the design and implementation of metadata activation solutions aligned with Data Mesh and Data Fabric principles.

What You’ll Gain

• How large-scale data systems are designed, built, and maintained at a global entertainment company.

• Best practices in data streaming, real-time processing, and automation.

• Collaboration within a professional engineering team using agile workflows.

• Application of modern DevOps tools in continuous integration and deployment (CICD).

What We’re Looking For

• Pursuing an undergraduate degree in a related technical field with graduation expected between December 2026 and Spring 2027.

• Proficient in Java for developing data processing pipelines and real-time streaming applications.

• Experience with Apache Kafka.

• Experience using Docker, Jenkins, and Kubernetes for CICD.

• Proficiency with Git for version control and collaborative development.

• Strong problem-solving and analytical abilities.

• Clear written and verbal communication skills for teamwork and documentation.

Nice to Have

• Experience with SQL (MySQL) or NoSQL (DynamoDB, Aerospike, Cassandra, Couchbase) databases.

• Familiarity with building scalable, fault-tolerant data pipelines.

• Understanding of Data Mesh and Data Fabric principles.

• Knowledge of data processing frameworks such as Apache Spark or Apache Flink.

Eligibility

• Students with expected graduation between December 2026 and Spring 2027 from an accredited university. Undergraduate Degree

• Able to work during one of the following periods: May 18th - August 7th or June 15th - September 4th. Relocation assistance is available for eligible candidates.

• Must be available for the entire 12-week internship period.

At this time, SIE will only consider applicants who are authorized to work for any employer in the United States and who will not require work visa sponsorship from SIE now or in the future to maintain their authorization to work in the United States.

Our intern positions offer a fixed hourly pay rate. Please note that the pay rate is exclusive to the internship period and may not reflect what pay may look like following the completion of an internship.