Senior Software Developer - Oracle Health, US Citizenship Required

Oracle Oracle · Enterprise · United States

Senior Software Developer role focused on building high-scale, cloud-based data processing pipelines for healthcare data, leveraging LLMs and AI agents for features like clinical decision support and workflow automation. Requires strong software engineering and data engineering skills, cloud experience, and familiarity with LLMs and agent frameworks.

What you'd actually do

  1. Build and enhance data pipelines, ETL workflows, and transformations.
  2. Contribute to LLM/agent-based features and analytics use cases.
  3. Work with EHR/RCM datasets and support KPI/dashboard development.
  4. Learn and apply best practices in cloud, data engineering, and LLMOps.

Skills

Required

  • BS/MS in Computer Science or equivalent
  • 5+ years of relevant software engineering experience
  • Strong software engineering skills in Python/Java
  • Strong knowledge of SQL
  • Deep expertise in data engineering: ETL, data transformation, data modeling (Spark, SQL)
  • Experience building high-scale distributed data systems
  • Cloud experience (OCI/AWS/Azure)
  • Experience with creating major new functionality in a software system all the way from design, through development and testing to production deployment.
  • Experience with collaborating across multiple functional areas to develop components that are part of a larger system.
  • Experience with LLMs, prompt engineering, and agent frameworks.
  • Experience with blending hands-on coding with smart adoption of AI-driven solutions to rapidly prototype, test, iterate, and deliver reliable code.
  • Experience using the ChatGPT, Claude or similar models on a routine basis to improve productivity.

Nice to have

  • Experience with agentic architectures or GenAI platforms.
  • Background in healthcare or digital health systems.
  • Understanding of EHR systems and RCM workflows.
  • Familiarity with healthcare coding standards (ICD/CPT).

What the JD emphasized

  • US citizenship required
  • 5+ years of relevant software engineering experience
  • Deep expertise in data engineering: ETL, data transformation, data modeling (Spark, SQL)
  • Experience building high-scale distributed data systems
  • Experience with creating major new functionality in a software system all the way from design, through development and testing to production deployment.
  • Experience with LLMs, prompt engineering, and agent frameworks.

Other signals

  • Leverage LLMs, AI agents, and modern data platforms
  • Contribute to LLM/agent-based features and analytics use cases
  • Experience with LLMs, prompt engineering, and agent frameworks
  • Experience with agentic architectures or GenAI platforms