Senior Full-Stack Engineer – Enterprise ALM, Test Automation & AI

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 Role Overview As a Senior Full-Stack Engineer – Enterprise ALM, Test Automation & AI within Roche’s Roche Difital Technology's Engineering Excellence & Experience organization, you will serve as a seasoned technical expert driving the evolution of our core engineering and lifecycle management platforms. Operating at the Product/Site level, your primary focus will be developing, maintaining, and adapting solutions like Jira and Codebeamer (known internally as Retina) to seamlessly fit the Roche environment. A major component of this role is leading the charge on AI innovation and automation , ensuring our consumers can work more effectively and intuitively within these tools. You will navigate a highly regulated GxP environment, embedding robust software quality practices, addressing architectural debt, and cultivating a culture of mentorship and continuous learning. Key Responsibilities Solution Engineering & AI Innovation Tool Customization (Jira & Retina): Develop, maintain, and adapt Atlassian Jira/confluence and Codebeamer (Retina) solutions to meet the complex, enterprise-scale needs of the Roche environment. AI-Driven Productivity: Drive AI innovations within our toolchains to enhance the daily workflows of our consumers. Design and deploy cutting-edge AI features, including agentic operations and AI assistants. System Design: Design, build, deploy, and sustain custom software enhancements utilizing strong full-stack and modern delivery expertise. Automation, Infrastructure & Quality High-Impact Automation: Champion an automation-first mindset, spearheading high-impact initiatives particularly focused on advanced software test automation . Infrastructure Delivery Lifecycle: Manage the end-to-end infrastructure delivery lifecycle, ensuring resilient, scalable deployments utilizing modern container solutions (e.g., Docker, Kubernetes). GxP Compliance: Develop and validate software solutions in a strictly regulated GxP context , ensuring all tools and AI capabilities meet stringent industry compliance standards. Architectural Quality: Proactively identify and resolve system performance bottlenecks, complex technical debt, and architectural challenges across the broader technical landscape. Initiative Ownership & Stakeholder Management Initiative Leadership: Take ownership of ambiguous technical areas ("grey zone" topics) and successfully drive small-to-medium (S/M) initiatives from conception to production. Strategic Alignment & Mentorship: Act as a technical mentor to peers, aligning development plans with Roche’s global strategy. Foster knowledge sharing by speaking at organizational events (e.g., DevOps Days, Tech Talks). Stakeholder Communication: Maintain a "big picture" view, prioritizing effectively and communicating how various technical components integrate into overarching organizational goals. Required Qualifications & Technical Pillars To be successful in this role, the ideal candidate must possess deep expertise in the following three core areas : Software Development & Coding: Proven, hands-on programming expertise with some of these languages Python, Java, or JavaScript and willingness to learn what is missing. Strong full-stack development capabilities, able to design and improve the entire software delivery process from code to production. Automation Mindset & Test Automation: Extensive experience leading and executing high-impact automation initiatives. Deep specialization in software test automation , ensuring speed, reliability, and an unwavering software quality mindset. Applied AI Development: Hands-on experience developing AI innovations to solve real-world user problems. Specific experience with Model Context Protocol (MCP) creation and validation, agentic operations, and agentic testing (or similar advanced AI-integration frameworks). Additional Required Experience GxP & Regulatory Environments: Proven experience developing and validating software solutions within a healthcare, pharmaceutical, or similarly regulated GxP context . Infrastructure & Containers: Strong working knowledge of the Infrastructure Delivery Lifecycle and hands-on experience deploying and managing container solutions . Enterprise ALM Tools: Familiarity with configuring, extending, or integrating enterprise tools like Jira and Codebeamer . Leadership & Delivery: Demonstrated track record of leading S/M initiatives, mentoring junior engineers, and navigating dynamic, matrixed group dynamics to challenge the status quo constructively. Who we are A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our