Principal Cloud Software Engineer

🕒 il y a 15 jours

🏖️ New Jersey, Pennsylvania – Distant

🏖️ New Jersey – Remote 🔔 Pennsylvania – Remote

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Configurer une alerte email pour les nouveaux emplois

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

Jazz Pharmaceuticals

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2003

🏥 Santé

🏭 Fabrication

🧬 Biotechnologie

Healthcare • Manufacturing • Biotechnology

Jazz Pharmaceuticals est une entreprise biopharmaceutique dédiée au développement de médicaments innovants répondant à des besoins médicaux sérieux non satisfaits. Avec un fort engagement envers la recherche et le développement, Jazz se concentre sur la création de thérapies transformatrices, mettant en avant l'importance de la collaboration, de la diversité et de l'engagement des employés dans ses opérations. L'entreprise est fière de transformer la vie des patients grâce à ses offres de produits significatives et une culture qui favorise l'enthousiasme et la flexibilité.

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.

🎯 Exigences

• 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.

🏖️ Avantages

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