Senior Software Engineer, Quality Engineering

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. The role We’re looking for a Senior Software Engineer to help strengthen the Quality Engineering foundation across our SDK teams. This role focuses on building confidence in the quality, reliability, and delivery of SDK solutions across multiple platforms. You’ll work on automation, CI/CD, tooling, test strategy, diagnostics, reporting, and engineering practices that help teams build quality into their work from the start. You’ll work across several SDK teams to understand quality risks, improve workflows, and turn broad or ambiguous problems into practical engineering outcomes. This role needs someone with a strong testing mindset, good technical judgement, and the ability to improve both the systems we use and the way teams think about quality. We’re looking for someone who can operate beyond traditional test automation. The right person will understand how to identify risk, ask good questions, design useful test approaches, improve developer feedback loops, and build tools or processes that make quality easier to achieve. You don’t need to have worked with every tool or domain listed below. You should have strong engineering fundamentals, be comfortable learning unfamiliar technical areas, and be able to apply that learning to real quality engineering problems. What you’ll be doing Building and improving CI/CD pipelines that support SDK build, test, validation, and release workflows. Developing Python-based automation and tooling for test orchestration, system validation, diagnostics, reporting, and quality visibility. Creating, maintaining, and improving automated tests across unit, integration, system, and end-to-end levels. Applying a testing mindset to engineering problems, including identifying risks, questioning assumptions, improving observability, and designing solutions that are easier to validate and maintain. Helping teams bake quality into solutions early by influencing design, implementation, testability, diagnostics, and release confidence. Investigating issues across build, test, deployment, and execution environments, then improving the workflows that allow teams to detect, diagnose, and prevent similar issues. Supporting Linux and Windows development environments, including cross-platform scripting, automation, debugging, and build/test workflows. Using test frameworks, quality metrics, reporting, and engineering data to improve quality visibility and support practical test strategy. Working with SDK teams to clarify quality risks, align on shared initiatives, and turn broad goals into actionable engineering work. Identifying bottlenecks, fragile processes, gaps in automation, weak feedback loops, or weaknesses in test coverage, then driving pragmatic improvements with the teams involved. Using AI-assisted and agentic engineering technologies responsibly to improve coding, debugging, test generation, refactoring, documentation, triage, and team efficiency. Building domain knowledge across SDK areas through planned rotations or focused assignments, contributing useful improvements in new technical contexts. Balancing immediate delivery needs with longer-term improvements to SDK quality engineering practices, CI/CD reliability, developer feedback, and test effectiveness. Coordinating with teams across London, Bristol, and Dublin, including occasional planned travel where useful. Mentoring peers, sharing good engineering practices, and helping influence quality engineering approaches across teams. What we’re looking for Strong practical Python skills for engineering automation, tooling, diagnostics, test orchestration, or quality-focused workflows. Experience building, maintaining, or improving CI/CD, build, test, release, or deployment automation, using tools such as Jenkins/Groovy or equivalent systems. Experience developing, maintaining, or improving automated tests, test frameworks, test infrastructure, or quality-focused tooling. A strong testing mindset, including the ability to identify risk, understand failure modes, question assumptions, and design practical approaches to build confidence in complex systems. Experience applying quality engineering practices beyond test execution, such as improving testability, observability, diagnostics, developer feedback, reporting, and release confidence. Ability to diagnose and resolve issues across complex build, test, CI, deployment, or execution environments. Comfortable working across Linux and Windows development environments. Familiarity with test frameworks such as pytest, GTest, or similar, and an understanding of quality metrics, test reporting, or practical test strategy. Experience using AI-assisted coding tools, LLMs, or agentic technologies to improve engineering productivity, with an understanding of how to review, validate, and apply generated output safely. Ability to work with ambiguity: asking good questions, identifying risks, breaking broad problems into practical steps, and making sound engineering decisions when every detail isn’t defined upfront. Pragmatic engineering judgement, including knowing when to build a robust long-term solution and when to deliver a focused improvement that unblocks progress. Clear communication and collaborative problem-solving, especially when working across distributed t