Senior QA Automation Engineer

At Roche you can show up as yourself, embraced for the unique qualities you bring.

Our culture encourages personal expression, open dialogue, and genuine connections,  where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally.

This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come.

Join Roche, where every voice matters.

The Position

Senior QA Automation Engineer

At Roche Information Solutions (RIS), we now do what patients need next.

We are transforming healthcare through digital innovation, building high-scale, cloud-native platforms that support clinicians and patients globally.

We are seeking a high-seniority Senior QA Automation Engineer for our Warsaw-based hub who can be co-located, and brings an AI-first mindset to the software development lifecycle.

At Roche, we offer a hybrid work model that combines flexibility with in-person collaboration.

For now, we require our employees to be in our offices on average two days per week.

The specific office days may vary depending on business needs, such as workshops, conferences, town halls, team meetings, and other collaborative events.

The Opportunity

You will work on a cloud-native digital pathology platform that is transforming how pathology laboratories operate worldwide.

The system enables pathologists, histotechnicians, and laboratory coordinators to digitize tissue slide specimens, manage clinical cases end-to-end, review high-resolution slide images remotely, run AI-powered algorithms for diagnostic decision support, and seamlessly exchange data with laboratory information systems (LIS) and PACS archives.

The vision is to deliver advanced medical insights and drive personalized healthcare by replacing manual, microscope-bound workflows with a connected, software-defined laboratory experience.

As a Senior QA Automation Engineer, you will own, build, and evolve the automated test frameworks and quality gates that guarantee the reliability of these clinical workflows - from UI and API test layer strategies to algorithm orchestration and third-party integrations - directly contributing to faster, more confident diagnoses for patients globally.

Who you are:

The "AI-First" Mindset

Beyond technical mastery, we value engineers who treat AI agents as a core partner in their workflow:


* SDLC Optimization: Using AI tools (e.g., Copilot, Cursor, or LLMs) to accelerate test script generation, test data synthesis, refactoring, and root-cause analysis of test failures.


* Agentic Awareness: Understanding how to leverage AI agents to automate routine tasks such as converting specifications into automated test scenarios, test data generation, documentation, and PR descriptions.


* Efficiency: A proactive approach to using prompt engineering to drive speed, coverage, and quality in production-ready test suites.

Technical Skills:


* Exper...