[remote] Senior Fullstack Platform Software Engineer- Clinical Digital Assistant

Oracle Oracle · Enterprise · United States

Senior FullStack Platform Software Engineer for a Clinical Digital Assistant platform leveraging generative AI and cloud-native technologies. The role involves designing and building user-facing applications and backend services for intelligent healthcare experiences, integrating AI, search, and NLP capabilities. Responsibilities include full-stack development, microservices, data pipelines, and ensuring security and compliance.

What you'd actually do

  1. Design, develop, and maintain full-stack applications for the CDA platform, including modern React-based user interfaces and cloud-native backend services.
  2. Collaborate closely with AI researchers, software developers, product managers, UX designers, and healthcare domain experts to define and deliver innovative solutions.
  3. Build responsive, accessible, and high-performing front-end applications using React, JavaScript/TypeScript, HTML5, and modern web technologies.
  4. Develop and maintain backend services and APIs using Java, Python, or similar object-oriented programming languages.
  5. Design and implement scalable microservices and RESTful APIs to support AI-driven healthcare applications.

Skills

Required

  • BS or MS degree in Computer Science or a related field
  • 4+ years of professional software development experience
  • React
  • JavaScript/TypeScript
  • Java
  • Python
  • software engineering fundamentals
  • data structures
  • algorithms
  • design patterns
  • distributed systems
  • RESTful APIs
  • microservices
  • cloud-native applications
  • OCI, AWS, Azure, or GCP
  • Docker
  • Kubernetes
  • databases
  • data modeling
  • scalable data platforms
  • event-driven architectures
  • Kafka, RabbitMQ, or similar frameworks
  • frontend best practices
  • responsive design
  • state management
  • accessibility
  • performance optimization
  • testing frameworks
  • communication and collaboration skills
  • technical leadership
  • problem-solving ability
  • mentoring engineers

Nice to have

  • Experience building AI-powered or data-intensive applications
  • Familiarity with healthcare technologies, healthcare data standards, or regulated environments
  • Redux
  • React Query
  • Next.js
  • Jest
  • Cypress
  • generative AI
  • large language models (LLMs)
  • vector databases
  • search technologies

What the JD emphasized

  • healthcare regulations
  • generative AI
  • AI-driven healthcare applications
  • intelligent healthcare workflows
  • AI, cloud computing, web development, and healthcare

Other signals

  • integrates generative AI
  • powers intelligent healthcare experiences
  • AI-driven healthcare applications