Senior SDET - ML Testing & Cloud Automation

Sony Interactive Entertainment Inc.; San Mateo (CA); Remote; USD 216,000 - 275,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) matching

Paid time off

Wellness program

Employee discounts

Bonus eligibility

Job summary

Sony Interactive Entertainment LLC in San Mateo, California seeks a Senior Software Development Engineer in Test to design, develop, and maintain automated testing frameworks for PlayStation console and platform applications using Python-based technologies.

The role requires a Master’s degree with ML and cloud experience, strong testing skills in CI/CD, Kubernetes, and AWS, and the ability to validate data pipelines and model outputs.

Qualifications

• Master’s degree in CS/CE or related field, or equivalent, and 2+ years in containerizing ML services and Kubernetes deployments.
• Experience with cloud-based ML infrastructure and monitoring to improve reliability.
• Proficiency in Python-based testing stacks and automated validation scripts.

Responsibilities

• Design, develop, and maintain automated testing frameworks and tools for PlayStation console and platform applications.
• Create automated validation scripts to test data preprocessing, model outputs, and performance metrics.
• Integrate automated checks into CI/CD pipelines for continuous regression testing of ML workflows.
• Verify end-to-end functionality of ML-powered pricing tools across web-based interfaces, APIs, and dashboards.

Skills

Python

PyTest

CI/CD

Test Automation

ML testing

Education

Master of Science in Computer Science or Computer Engineering or related field

Tools

Tableau

Kubernetes

AWS

EC2

S3

Lambda

Scikit-learn

Pandas

Job description

Sony Interactive Entertainment LLC in San Mateo, California seeks a Senior Software Development Engineer in Test to design, develop, and maintain automated testing frameworks for PlayStation console and platform applications using Python-based technologies.

The role requires a Master’s degree with ML and cloud experience, strong testing skills in CI/CD, Kubernetes, and AWS, and the ability to validate data pipelines and model outputs.