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Principal, Cloud Software Engineer
Jazz Pharmaceuticalsrampton, england🇬🇧United KingdomPosted 2 Aug 2026
Quick Overview
Work Type
On Site
Level
Leader
Job Description
If you are a current Jazz employee please apply via the Internal Career site. 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. Brief Description:
The 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.
Essential Functions 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, TypeScript, 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, CloudFront, CloudWatch, 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 GitHub Actions, Jenkins, or AWS CodePipeline. 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. Required Knowledge, Skills and Abilities
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 productionize 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. Preferred Knowledge, Skills and Abilities
Experience in Healthcare, Life Sciences, Pharmaceutical, Biotechnology, Clinical Research, or Medical Device environments. Experience building AI-enabled healthcare applications, clinical decision support tools, or intelligent workflow solutions. Experience developing event-driven or service-oriented application architectures. Knowledge of software architecture patterns and enterprise integration practices. Familiarity with regulated software development, validation, documentation, and change control practices.
Required/Preferred Education Preferred Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Data Science, Bioinformatics, Mathematics, or a related technical discipline required.
5+ years of professional software engineering experience.
3+ years of experience designing and deploying cloud-native applications within AWS environments.
Demonstrated experience delivering complex software projects from design through production support. Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery #LI-DM1 Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here:
The 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.
Essential Functions 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, TypeScript, 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, CloudFront, CloudWatch, 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 GitHub Actions, Jenkins, or AWS CodePipeline. 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. Required Knowledge, Skills and Abilities
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 productionize 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. Preferred Knowledge, Skills and Abilities
Experience in Healthcare, Life Sciences, Pharmaceutical, Biotechnology, Clinical Research, or Medical Device environments. Experience building AI-enabled healthcare applications, clinical decision support tools, or intelligent workflow solutions. Experience developing event-driven or service-oriented application architectures. Knowledge of software architecture patterns and enterprise integration practices. Familiarity with regulated software development, validation, documentation, and change control practices.
Required/Preferred Education Preferred Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Data Science, Bioinformatics, Mathematics, or a related technical discipline required.
5+ years of professional software engineering experience.
3+ years of experience designing and deploying cloud-native applications within AWS environments.
Demonstrated experience delivering complex software projects from design through production support. Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery #LI-DM1 Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here:
Skills
Django
FastAPI
Flask
API Gateway
AWS
Machine Learning
Scrum
Agile
Angular
CSS
C++
GDPR
GitHub Actions
HIPAA
Java
JavaScript
Jenkins
LLM
Python
REST
React
TypeScript
Vue
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