Principal, Cloud Software Engineer

Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments.

Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit  for more information.

Principal, Cloud Software Engineer will be responsible for designing, developing, and maintaining modern healthcare-focused applications that support clinical, research, and enterprise RnD AAAI initiatives across the RnD organization. This role will lead the development of secure, scalable, AI-enabled web applications and APIs within an AWS cloud environment, with a strong emphasis on product development, user experience, and delivery of intelligent software solutions.

• Design, develop, and maintain full stack web applications using Python, Java, C++ and modern frontend frameworks.
• Build scalable backend services and APIs using Python frameworks such as FastAPI, Flask, or Django.
• Develop responsive, intuitive, and secure user interfaces using React, Type Script, JavaScript, HTML5, CSS and Tailwind.
• Build healthcare and research applications that support clinical, operational, and AI-enabled workflows.
• Collaborate with Product, AI/ML/Data Engineering, IT / Infrastructure and Business teams to translate requirements into effective software solutions.
• Design and develop application features that incorporate AI/ML capabilities.
• Integrate AI services and machine learning models into production applications through APIs and service interfaces.
• Work with AI/ML teams to support model inference, prompt-based experiences, and AI-powered workflows in healthcare use cases.
• Build secure and scalable application components within the AWS environment using services such as EC2, Lambda, ECS/EKS, API Gateway, S3, Cloud Front, Cloud Watch, and IAM.
• Implement authentication, authorization, role-based access, and secure data handling patterns appropriate for regulated healthcare environments.
• Develop integrations with internal and external systems using APIs, event-driven patterns, and secure service communication.
• Create and maintain automated unit, integration, and end-to-end tests to ensure software quality and reliability.
• Support CI/CD practices and modern software delivery workflows using tools such as Git Hub Actions, Jenkins, or AWS Code Pipeline.
• Contribute to application monitoring, logging, and troubleshooting to ensure performance, stability, and maintainability.
• Participate in architecture and design reviews, providing input on application structure, scalability, security, and AI integration patterns.
• Document application behavior, technical designs, and operational procedures.
• Ensure solutions align with healthcare privacy, security, and regulatory expectations including HIPAA, GDPR, and GxP-aligned practices where applicable.
• Mentor other engineers and contribute to engineering standards, code quality, and technical best practices.

• Strong proficiency in Python, Java, C++ development with experience building enterprise or healthcare software applications.
• Strong experience with modern frontend frameworks such as React, Angular, or Vue.js.
• Experience designing and developing REST APIs and application backends.
• Strong understanding of AWS services used for application development and deployment.
• Experience building secure, scalable web applications in cloud environments.
• Experience with authentication, authorization, and secure application design patterns.
• Strong understanding of application testing practices, including unit, integration, and end-to-end testing.
• Experience integrating third-party services, APIs, and internal systems.
• Experience developing applications that incorporate AI/ML capabilities or intelligent workflows.
• Familiarity with AI/ML application patterns such as model inference, LLM integration, prompt-driven experiences, search/retrieval, summarization, or recommendation features.
• Experience working with Data Science or ML teams to product ionize AI-driven application features.
• Knowledge of healthcare privacy, security, and regulatory requirements, including HIPAA and GDPR.
• Strong analytical, troubleshooting, and problem-solving abilities.
• Excellent communication skills and ability to work effectively with cross-functional stakeholders.
• Experience working in Agile/Scrum development environments.