Software Engineer, PlayStation

• 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.
• Bachelor's degree in Computer Science
• 3+ years of direct experience developing scalable, distributed systems
• Proficient in at least one language: Scala, Java, or Python
• 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
• Comfortable working in a globally distributed team
• Willingness to participate in production on-call rotations

Desirable

• 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
• 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
• 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