Senior 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.

• 3-5+ 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.