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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Platform Software Engineer - Oracle Health - **Company:** Oracle - **Location:** Des Moines, IA, United States - **Experience:** Expert - **Salary:** $105,900.0 - $234,600.0 - **Contract:** Permanent contract - **Skills:** Cerner, Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, HTML5, Microsoft Azure, Big Data, Cloud Computing, Code Review, Databases, Data Structures, Decision Support Systems, Software Design Patterns, Web Development, Distributed Systems, Python (Programming Language), Enterprise Messaging Systems, Natural Language Processing, Object-Oriented Software Development, Performance Tuning, Software Architecture, RabbitMQ, Next.js, Responsive Web Design, Search Technologies, Secure Coding, Software Engineering, System Software, TypeScript, Web Applications, Data Ingestion, Spring Cloud, ReactJS, Large Language Models, Software Security, Cypress (Programming Language), Generative AI, Backend, Event Driven Architecture, Information Technology, Apache Flink, Health Level Seven International, Apache Kafka, Data Management, Web Technologies, Front End Software Development, React Redux, Restful APIs, Oracle Cloud Infrastructure, Data Pipelines, Docker, Microservices - **Published:** November 8, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3505211722&tx=ZT2322THT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * BS or MS degree in Computer Science or a related field is required. * 8+ years of professional software development experience, including significant experience in both front-end and backend application development. * Strong experience building modern web applications using React and JavaScript/TypeScript. * Proficiency in Java, Python, or similar object-oriented programming languages for backend development. * Strong understanding of software engineering fundamentals, including data structures, algorithms, design patterns, and distributed systems. * Proven experience in system design and software architecture, including designing scalable, reliable, highly available, and maintainable distributed systems. * Experience designing and developing RESTful APIs, microservices, and cloud-native applications. * Hands-on experience with cloud platforms such as OCI, AWS, Azure, or GCP. * Familiarity with containerization and orchestration technologies, including Docker and Kubernetes. * Experience working with databases, data modeling, and scalable data platforms. * Knowledge of event-driven architectures and messaging technologies such as Kafka, RabbitMQ, or similar frameworks. * Understanding of frontend best practices, including responsive design, state management, accessibility, performance optimization, and testing frameworks. * Demonstrated technical leadership experience, including leading complex engineering projects, driving architectural decisions, and providing technical guidance to other engineers. * Ability to evaluate architectural trade-offs, solve complex technical problems, and drive solutions from design through production. * Excellent communication and collaboration skills, with the ability to influence technical decisions and work effectively across cross-functional teams. * Strong problem-solving ability, ownership mindset, and passion for mentoring engineers and driving engineering excellence., * Experience building AI-powered or data-intensive applications. * Familiarity with healthcare technologies, healthcare data standards, or regulated environments. * Experience with modern frontend tooling and frameworks such as Redux, React Query, Next.js, Jest, Cypress, or similar technologies. * Exposure to generative AI, large language models (LLMs), vector databases, and search technologies. * Experience leading the architecture and delivery of large-scale, distributed, or mission-critical cloud applications. ## Description * Lead the design, development, and maintenance of full-stack applications for the CDA platform, including modern React-based user interfaces and cloud-native backend services. * Provide technical leadership across engineering initiatives, driving system design, architectural decisions, and implementation strategies for complex, scalable solutions. * Collaborate closely with AI researchers, software developers, product managers, UX designers, and healthcare domain experts to define and deliver innovative solutions. * Build responsive, accessible, and high-performing front-end applications using React, JavaScript/TypeScript, HTML5, and modern web technologies. * Design, develop, and maintain backend services and APIs using Java, Python, or similar object-oriented programming languages. * Lead the design and implementation of scalable microservices, RESTful APIs, and distributed systems to support AI-driven healthcare applications. * Architect and optimize data ingestion, storage, processing, and retrieval capabilities that power intelligent healthcare workflows. * Integrate generative AI, search technologies, and NLP capabilities to enable conversational experiences, semantic search, summarization, and decision support features. * Design, build, and optimize data pipelines using technologies such as Kafka, Flink, RabbitMQ, and related event-driven architectures. * Collaborate with UX and product teams to deliver intuitive user experiences and ensure seamless integration between front-end and backend systems. * Ensure application security, privacy, and compliance through secure coding practices, access controls, encryption, and adherence to healthcare regulations. * Lead and participate in architecture reviews, code reviews, and technical design discussions to maintain engineering excellence, scalability, and long-term maintainability. * Mentor and guide engineers, providing technical direction, promoting best practices, and fostering a culture of innovation, collaboration, and continuous learning. * Drive technical initiatives across teams, identify opportunities for architectural improvements, and help resolve complex engineering challenges. * Stay current with emerging technologies in AI, cloud computing, web development, and healthcare to drive platform innovation.