Principal Cloud Software Engineer

🕒 July 22

🏖️ New Jersey, Pennsylvania – Remote

🏖️ New Jersey – Remote 🔔 Pennsylvania – Remote

⏰ Full Time

🔴 Lead

☁️ Cloud Engineer

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Jazz Pharmaceuticals

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2003

🏥 Healthcare

🏭 Manufacturing

🧬 Biotechnology

Healthcare • Manufacturing • Biotechnology

Jazz Pharmaceuticals is a biopharmaceutical company dedicated to developing innovative medicines that address serious unmet medical needs. With a strong commitment to research and development, Jazz focuses on creating life-changing therapies, emphasizing the importance of collaboration, diversity, and employee engagement in its operations. The company prides itself on transforming patients' lives through its meaningful product offerings and a culture that fosters enthusiasm and flexibility.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• medical, dental and vision insurance • retirement savings plan • flexible paid vacation