Software Engineer II, Data Platform

Do you want to join a team of talented engineers dedicated to enhancing the PlayStation experience for millions of users and creators? As part of our Data Platform team, you will play a key role in building cutting-edge systems that power PlayStation’s data-driven features, delivering impactful insights and enabling seamless, interactive experiences!

The Software Engineers within our Platform Engineering Group design, build, document, and deploy large-scale data platforms that optimize performance and scalability across PlayStation systems. You will work on solving complex data challenges, improving platform capabilities, and ensuring high availability, all while supporting a dynamic, interactive environment for PlayStation users.

We’re looking for someone who is passionate about building innovative data platforms that scale to millions of users, collaborating across Engineering and Product teams in an agile environment. You’ll have the opportunity to work with the latest technologies, tools, and processes, helping to drive forward our technical and architectural goals.

Contribute to the development, testing, and deployment of high-quality code across the data platform

Collaborate actively with global teams across multiple time zones , ensuring alignment and continuity

Support platform capabilities for data cataloging, analytics, and ETL/ELT pipelines

Assist in identifying performance bottlenecks and implementing improvements with guidance from senior engineers

Build and support services that handle structured, semi-structured, and unstructured data (audio, video, text, images)

Participate in on-call rotation for production support and help troubleshoot critical issues

Contribute to platform documentation and maintain clarity for internal consumers

Present work in team demos and represent engineering contributions in internal discussions

Follow best practices in testing, monitoring, and deployment to ensure platform reliability

Continuously learn and apply new tools, patterns, and technologies in the data platform space

Experience building or maintaining cloud-based applications/services (AWS preferred, GCP is a plus)

Exposure to event streaming platforms such as Kafka, Kinesis, or SQS and Data Ingestion

Familiarity with distributed data processing frameworks like Apache Spark or Apache Flink

Understanding of CI/CD pipelines, monitoring, and observability best practices

Experience working with unstructured data formats such as images, video, or audio

Experience supporting platform-scale features such as ETL frameworks, analytics services, or data quality checks

Curiosity and enthusiasm for tackling scalability and reliability challenges

30 Days: Ramp up on our tech stack, development tools, and team workflows. Deliver your first minor enhancement or bug fix and sync with global peers.

60 Days: Begin contributing to core platform features. Participate in code/design reviews and propose improvements.

90 Days: Own medium-scope features end-to-end. Engage in roadmap discussions and build strong cross-functional relationships with global stakeholders.