Copy of Software Engineer II, Data Platform

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. As the company behind the PlayStation brand and a subsidiary of Sony Group Corporation, SIE is a dynamic technology leader delivering cutting-edge hardware and network services to over 100 million users. We’re also an entertainment powerhouse, home to some of the world’s most beloved and recognizable intellectual properties. Our mission is to create and nurture the experiences that define the PlayStation brand, synonymous with entertainment excellence and creativity.

About the role

Join our Data Platform team and help build cutting-edge systems that power PlayStation’s data-driven features, delivering impactful insights and enabling seamless, interactive experiences for millions of users and creators. As a Software Engineer II, you’ll design, build, document, and deploy large-scale data platforms that optimize performance and scalability across PlayStation systems. You’ll tackle complex data challenges, improve platform capabilities, and ensure high availability while collaborating with global teams in an agile environment.

Responsibilities

• 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

Requirements

• 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

Nice to Have

• Exposure to Databricks or similar unified data platforms
• Experience working with unstructured data formats such as images, video, or audio
• Familiarity with data cataloging, lineage, and metadata tools
• Experience supporting platform-scale features such as ETL frameworks, analytics services, or data quality checks
• Knowledge of GCP or multi-cloud environments
• Curiosity and enthusiasm for tackling scalability and reliability challenges

Your First 90 Days

• 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.

Benefits

• Top-tier benefits package including medical, dental, vision, and matching 401(k)
• Paid time off and wellness program
• Coveted employee discounts for Sony products
• Eligibility for a bonus package

Pay

The estimated base pay range for this role is $150,100—$225,100 USD.

At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Individual base pay will be determined based on job-related factors such as knowledge, skills, experience, and location.