Principal Software Engineer

Principal Backend Developer – Clinical Applications EngineeringOracle 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.

What You'll Do
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.
Technical Leadership & MentorshipServe as a technical leader within the team, helping guide architecture decisions and engineering best practices.
Mentor junior engineers through code reviews, design reviews, and day-to-day technical guidance.
Lead small engineering initiatives and coordinate delivery across teams when required.
Foster a culture of engineering excellence, accountability, and continuous learning.
End-to-End OwnershipOwn 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.
Engineering Productivity & AI EnablementLeverage 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.
ResponsibilitiesRequired QualificationsBachelor's degree in Computer Science, Software Engineering, or related field.7-9+ years of professional software engineering experience.
Strong experience developing enterprise-scale backend systems using Java, Python, or other object-oriented programming languages.
Deep understanding of distributed systems, microservices architecture, APIs, scalability, resiliency, and performance optimization.
Experience building and supporting cloud-native applications in modern engineering environments.
Proven experience serving as a technical lead, leading projects and mentoring engineers.
Experience guiding and supporting teams of approximately 5-6 engineers through technical execution and delivery.
Strong understanding of software design principles, data structures, algorithms, and system architecture.
Excellent verbal and written communication skills with the ability to clearly explain technical concepts to both technical and non-technical audiences.
Preferred QualificationsExperience with cloud platforms, containerization, and modern DevOps practices.
Experience working in highly regulated environments requiring reliability, security, and compliance.
Familiarity with AI-assisted development tools such as GitHub Copilot, Codex, or similar engineering productivity platforms.
What Makes Someone Successful in This RoleThe ideal candidate is first and foremost a strong software engineer with deep backend expertise and a passion for solving complex technical problems. They understand how modern distributed systems operate, can independently design and build scalable services, and are comfortable owning solutions from concept through production.
Successful candidates demonstrate:Strong technical depth rather than reliance on AI-generated code.
The ability to leverage AI tools responsibly to accelerate productivity while maintaining full understanding of system design and implementation details.
Exceptional communication skills and the ability to articulate techni