Principal Platform Software Engineer

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, patients 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 and Build Scalable Clinical Applications

-

Design, develop, and maintain cloud-native Patient Engagement and integrate with supporting EHR applications, 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 & Mentorship

-

Serve 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 Ownership

-

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.

Engineering Productivity & AI Enablement

-

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.

Required Qualifications

-

Bachelor'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 Qualifications

-

Experience 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.