Senior Software Engineer (IC3) - US Citizenship Required

Oracle is a leader in AI and cloud solutions, seeking a Senior Software Engineer (IC3) to design, develop, and operate backend services for their Oracle Health Patient Accounting portfolio. The role involves working across the complete software development lifecycle to deliver secure, scalable services while collaborating with cross-functional stakeholders.

Responsibilities:

• Design and implement backend services and APIs
• Deliver features end-to-end: requirements clarification, technical design, implementation, automated testing, deployment, and operational support
• Participate in code and design reviews; contribute to engineering best practices (testing, CI/CD, observability, security)
• Diagnose and resolve production issues; participate in on-call and incident response and drive follow-up actions
• Collaborate with cross-functional stakeholders (including SRE/Operations, Security, Product, and other engineering teams)
• Produce and maintain documentation, runbooks, and operational playbooks
• Demonstrate practical experience using AI-assisted techniques/tools to improve developer productivity and quality (e.g., faster prototyping, stronger test coverage, safer refactoring, better documentation)
• Apply an AI-first mindset to day-to-day work: generating and validating code suggestions, creating/maintaining tests, and improving observability and runbooks—while maintaining strong engineering judgment
• Understand and follow enterprise security and privacy requirements when using AI tooling (e.g., protect sensitive data, use approved tools/workflows)

Requirements:

• Must be eligible to obtain and maintain a Federal Security Clearance, which requires you to be a US Citizen
• BS in Computer Science or related field (or equivalent practical experience)
• 5+ years of professional software development experience
• Proficiency in one or more: Java, C#, SQL, Python, and Oracle Database
• Experience with modern engineering practices: source control, code review, automated testing, CI/CD pipelines
• Experience developing SaaS/PaaS services using public cloud (OCI, AWS, Azure, or GCP)
• Demonstrate practical experience using AI-assisted techniques/tools to improve developer productivity and quality (e.g., faster prototyping, stronger test coverage, safer refactoring, better documentation)
• Apply an AI-first mindset to day-to-day work: generating and validating code suggestions, creating/maintaining tests, and improving observability and runbooks—while maintaining strong engineering judgment
• Understand and follow enterprise security and privacy requirements when using AI tooling (e.g., protect sensitive data, use approved tools/workflows)
• Experience with healthcare / financial systems