About the Role and the Project:

At Evinova, we're building digital products that transform how clinical trials work for patients, healthcare professionals, and regulators. Our mission is to simplify participation in clinical trials and improve health outcomes through technology that matters. We are looking for software engineers who build with AI as a core part of their workflow, not as an add-on.

We are looking for a senior software engineer with 6+ years of experience to join a full-stack engineering team building products that power clinical trials.

You will write production code daily, own the quality of what you ship, and use AI tools as a force multiplier across your entire development workflow.

This is a building role. You will design, implement, and maintain backend services, contribute to frontend development, and integrate AI capabilities directly into our product suite. You will also help establish how our team works with AI: defining conventions for AI-assisted coding, prompt engineering patterns, and quality gates for AI-generated code.

The role is based in Barcelona, with an on-site commitment of three days a week.

What You Will Build:

Core Engineering

• Design and build scalable backend services, RESTful APIs, and data streaming pipelines that meet the reliability and compliance requirements of clinical trial software.

• Contribute to frontend development across our React/React Native applications when the work requires full-stack ownership.

• Write clean, well-tested, production-ready code. Own the quality of your work end-to-end, from design through deployment and monitoring.

• Troubleshoot and resolve complex production issues. Analyze root causes and improve systems to prevent recurrence.

• Collaborate with DevOps and Platform teams on infrastructure-as-code, CI/CD pipelines, and automated deployment and recovery.

AI-Native Development

• Accelerate velocity by using AI coding assistants (GitHub Copilot, Claude, Cursor, or similar) as a daily part of your development workflow while maintaining high code quality.

• Build agentic AI features into our products: design and implement LLM-powered workflows, intelligent automation, and AI-driven user experiences within the clinical trial platform.

• Develop and share prompt engineering patterns, evaluation frameworks, and testing strategies for AI-integrated features.

• Apply critical judgment to all AI-generated code. You are accountable for everything you commit, regardless of whether you or an AI tool wrote the first draft.

• Contribute to the team's evolving playbook for AI-assisted development, including when AI tools accelerate vs. when they introduce risk.

• Collaborate with UI Design to verify AI-based flows in the product are clearly presented during the user experience and includes a human-in-the-loop to ratify the result.

Collaboration & Mentorship

• Participate actively in code reviews, providing substantive feedback that raises the quality bar for the team.

• Collaborate with product owners, designers, and stakeholders to translate clinical requirements into well-engineered technical solutions.

• Mentor other engineers, particularly in AI-assisted development practices and modern development workflows.

• Participate in agile ceremonies and contribute to sprint planning, estimation, and retrospectives.

Required Qualifications:

• 6+ years of professional software engineering experience shipping production systems.

• Strong proficiency in at least one backend language (Java, Node.js, or similar) and frontend technologies (TypeScript, React).

• Experience building and operating RESTful APIs, with solid understanding of HTTP, JSON, and OpenAPI specifications.

• Experience with document-based storage (MongoDB or similar) and data streaming technologies (Kafka or similar).

• Practical, daily experience using AI-assisted development tools in your own coding workflow. You should be able to articulate how AI tools change the way you design, write, test, and review code.

• Experience building or integrating AI/LLM features into production applications (not just experimentation or prototypes).

• Proficiency with CI/CD pipelines (GitHub Actions, Azure DevOps, or similar) and containerization (Docker, Kubernetes).

• Experience with AWS cloud services.

• Strong testing discipline: unit testing, integration testing, and BDD frameworks (Cucumber or similar).

• Familiarity with regulated or compliance-sensitive software development environments.

Desired Qualifications:

• Experience building agentic AI systems, including multi-step LLM workflows, tool use, and evaluation/observability for AI features.

• Experience with clinical trial software, eCOA, or healthcare/life sciences technology.

• Familiarity with GxP or SaMD validation processes.

• Experience designing solutions for complex projects within large organizations.

• Contributions to open-source projects or visible technical thought leadership.

Why Evinova?

Evinova draws on AstraZeneca's deep experience developing novel therapeutics, informed by insights from thousands of patients and clinical researchers. Together, we accelerate the delivery of life-changing medicines and improve the design and delivery of clinical trials.

We work a minimum of three days per week from the office to maintain the pace, connection, and creative friction that builds great products, while respecting individual flexibility.

Are you ready to transform clinical trials and help improve health outcomes around the world?

Date Posted

09-abr-2026

Closing Date

12-abr-2026

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.