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The Software Engineer II will design and develop PlayStation features for PS5, focusing on front-end applications and facilitating cross-platform integration and collaboration using Agile methodologies.

The Software Development Engineer in Test will develop automation frameworks and tools for testing PlayStation SDK components, drive technical strategies, and enhance testing infrastructure across various platforms while ensuring quality and release confidence.

Drive video codec architecture and development, optimize performance, resolve issues, evaluate technologies, and lead encoder/decoder feature ownership.

Lead and deliver large-scale, complex technical initiatives across cloud, on‑prem, and hybrid infrastructure. Drive cross-team alignment, manage risks, reporting, budgets, and release planning. Mentor other technical project managers and improve project standards, processes, and tooling to increase delivery quality and efficiency.

The Sr. Analyst will develop and deploy machine learning models, design testing strategies, and analyze user behavior for the PlayStation brand.

Prototype, implement, and own gameplay scenarios, narrative sequences, interactive objects, AI behaviors, and other systems. Coordinate with animation, programming, and art, advise leadership on team dynamics, and improve tools and workflows while working with minimal supervision.

Develop and maintain automated tests for PlayStation peripherals and firmware, ensuring quality and performance through collaborations with development teams.

The Full-Stack Software Engineer will design and develop full stack solutions for PlayStation features, optimizing performance and collaborating with international teams.

The Senior Software Engineer will develop features for PlayStation across platforms, focusing on frontend applications with React Native and collaborating with product teams to ensure high quality and maintainable code.

Lead enterprise-quality engineering and automation strategy for PlayStation mobile, console, portal, hardware, and services. Design and scale automation frameworks (UI, API, integration, telemetry, hardware), improve CI/CD quality gates, drive AI-assisted testing R&D, reduce flakiness, mentor SDETs, coordinate cross-functional initiatives, and define metrics to improve release confidence and long-term QE scalability.