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Oracle Health is seeking a Principal Software Engineer to join our Clinical Applications Engineering team, focused on modernizing provider workflows, inbox management, and clinical messaging within our Gen2 EHR platform. This full-stack role emphasizes backend development, distributed systems, and scalable platform architecture used by clinicians daily.
You will drive end-to-end ownership of services, design scalable backend services, and collaborate with product managers and engineers to
Oracle Health is building the next generation of healthcare technology through our Gen2 Electronic Health Record (EHR) platform. We are seeking a highly skilled Principal Software Engineer to join our Clinical Applications Engineering team focused on modernizing provider workflows, inbox management, and clinical messaging capabilities that are central to how clinicians communicate, coordinate care, and manage patient information.
This is a full-stack engineering role with a strong emphasis on backend development, distributed systems, and scalable platform architecture. You will work on mission-critical healthcare applications used by clinicians every day while helping drive Oracle Health's next-generation cloud-native EHR strategy.
We are looking for engineers who thrive in complex technical environments, possess strong system design skills, and demonstrate a deep sense of ownership across the entire software development lifecycle.
Design, develop, and maintain cloud-native EHR applications supporting clinical inbox, messaging, and provider workflow experiences.
Build highly scalable backend services and distributed systems that power critical healthcare workflows.
Develop full-stack solutions while maintaining a primary focus on backend architecture, performance, reliability, and scalability.
Partner with product managers, architects, and cross-functional engineering teams to translate business requirements into technical solutions.
Drive technical design discussions and contribute to long-term platform strategy.
Own services and applications throughout the entire development lifecycle, from requirements gathering through deployment and production support.
Troubleshoot complex production issues and drive root-cause analysis efforts.
Improve observability, reliability, operational readiness, and system performance.
Collaborate closely with TPMs, Product Managers, and stakeholders to ensure requirements are clearly understood and successfully delivered.
Leverage modern AI-assisted development tools, including coding assistants and prompt-driven engineering workflows, to improve productivity and development efficiency.
Work closely with teams building AI-powered healthcare capabilities while remaining focused on application engineering and platform delivery.
Apply AI tools thoughtfully while maintaining strong software engineering fundamentals, architecture expertise, and independent problem-solving capabilities.