The role
Job description
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.