3 Json Schema Jobs

Form.io developer: 2+ years of experience working with Form.io. Strong understanding of JSON Schema, JavaScript, and form logic. Experience with API integrations (RESTful services) within Form.io or similar platforms. Good understanding of RBAC, data security, and form submission handling. Optional Skillset: Familiarity with workflow tools like N8N, and experience creating automated workflows. Basic experience or understanding of Drools or other rule engines is a plus.

What you can look forward to as Specialist Java Full Stack Development Automotive Domain: As a full stack application Developer for Catena-X project, you will be actively contributing to ZFs digitalization strategy driving a high level of secure products and services within ZFs automotive and industrial divisions. You have a passion for digital products and will use your skills and new technology to bring value to our business partners. In this role you will be responsible for development and testing while understanding the current and envisioning the future landscape, developing full stack applications and interconnection to enterprise applications. Develop Java web and backend applications in the Catena-X team, drive constant exchange and coordination with the team, the department and other project teams. Developing the new API integrations based on the newest integration technologies for the Catena-X consortium. API design and development Add new solutions and maintain existing applications as well as the underlying infrastructure, incl. analysis, specification, implementation of applications for Catena-X, its platform, modules, and interfaces. Creating the interfaces and services (REST / OpenAPI) based on the business requirements. Creating of the data models (JSON Schema, XSD) Your profile as Specialist Java Full Stack Development Automotive Domain: Minimum 4 years experience in software development, integrations and optimizing web applications using Java, J2ee and Mongo or Postgres databases; Minimum 2-year experience in developing REST APIs; First Experience with cloud platforms are desirable (Azure/AWS/GCP); preferably in Azure; Must have experience in Agile methodology. Strong programming skills Experience in developing pipelines with Azure DevOps, create and maintain Infrastructure-as-a-Code scripts to setup up virtual environments. Experience in Kubernetes and Docker is desired. Practical knowledge of REST / JSON and microservices Integration knowledge of web applications with enterprise products Well-founded knowledge of software development cycle and some of the corresponding tools (GitHub) Knowledge at least one of the technologies: Java, Node.js Databases knowledge First Experience with cloud platforms, preferably in Azure Ability to administrate infrastructure components (DevOps) Be part of our ZF team as Specialist - Java Full stack Development- Automotive Domain and apply now!

. Design and develop cloud-native enterprise software products and services, focusing on distributed, scalable, fault-tolerant, and multi-tenant cloud services for healthcare applications using FHIR and LLM-based models for natural language processing (NLP). . Build FHIR-compliant integrations with Oracle Health's healthcare data systems, ensuring adherence to FHIR standards in data exchange, patient record management, and clinical workflows, while integrating LLMs to provide contextual insights and automated processing of clinical data. . Develop healthcare cloud applications following microservices and twelve-factor application principles, optimizing for data integration with FHIR-based services and LLMs for advanced text-based analysis and healthcare recommendations. . Focus on API-first design using OpenAPI, Swagger, and test-driven development, ensuring integration with FHIR-based healthcare data through RESTful APIs, and leveraging LLMs for real-time patient data analytics. . Code in Java, leveraging RESTful APIs, microservices, Docker, and Kubernetes, with integration into healthcare data systems at Oracle Health that use FHIR, and incorporating LLMs for scalable NLP tasks, such as summarizing patient information or automating documentation. . Work with prominent healthcare APIs and other systems like AWS, Microsoft Azure, GCP, and Salesforce to facilitate healthcare data exchange, with programming languages like Java, Go, Python, JavaScript, and NodeJS, integrating AI-driven solutions and LLMs for intelligent data extraction. . Implement message interchange formats such as JSON/JSON Schema, XML, Avro, and FHIR resources, while integrating LLM-based AI models to enhance decision-making, predictive analytics, and patient engagement. . Collaborate with JavaScript frameworks like OJET, ReactJS, and AngularJS to create dynamic, healthcare-driven user interfaces, integrating with FHIR-based patient data systems and enhancing user experience with LLM-driven insights and contextual support. . Provide technical evaluations, optimize applications, and implement best practices in developing cloud-native healthcare applications with FHIR and LLM capabilities for Oracle Health. . Create reusable solutions that can accelerate the creation of healthcare applications using FHIR and LLMs, streamlining the integration with EHR and clinical systems, and delivering smarter healthcare insights. Design and Development: Create and implement scalable, multi-tenant cloud services on Oracle Cloud Infrastructure (OCI) tailored for Oracle Health. Integration: Develop and integrate healthcare systems using FHIR standards to ensure smooth data exchange in clinical workflows. Cloud-Native Applications: Build cloud-native applications and ensure compliance with FHIR standards for healthcare integrations. Decision-Making and Analytics: Leverage large language models (LLMs) and AI-driven solutions to enhance decision-making processes, predictive analytics, and automation in healthcare. API Development: Design and develop RESTful APIs to facilitate seamless integration and interaction with various healthcare data formats. Microservices Architecture: Implement and maintain a robust microservices architecture to support scalable and efficient cloud services. Collaborative Efforts: Work closely with cross-functional teams to create reusable, FHIR-based solutions focusing on healthcare interoperability and AI integration. Operational Excellence: Monitor, operate, and maintain cloud services to ensure optimal performance, reliability, and scalability. Compliance and Standards: Ensure all cloud services and integrations comply with industry standards and regulations, particularly in healthcare. Career Level - IC3