Role Summary
Oracle Health Platform Engineering builds core platform capabilities that enable Oracle Health teams to deliver secure, scalable, highly available services. We operate with an AI-first engineering culture—engineers are expected to use AI-assisted approaches to accelerate delivery and improve quality across system design, coding, testing, documentation, and operations.
We are seeking a Senior Software Developer (IC3) to design, develop, and operate backend services and platform components that improve developer productivity and strengthen platform security and reliability.
Location / Work Authorization / Clearance
• Role is based in the United States.
• U.S. citizenship required due to security clearance requirements.
• No visa sponsorship available.
• Must be able to obtain and maintain the required security clearance.
Internal Responsibilities
Key Responsibilities
• Design and implement backend services and APIs used by Oracle Health product teams.
• 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 (SRE/Operations, Security, Product, and other engineering teams).
• Produce and maintain documentation, runbooks, and operational playbooks.
AI-First Engineering Expectations
• 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).
Minimum Qualifications
• BS in Computer Science or related field (or equivalent practical experience).
• 3+ years of professional software development experience.
• Proficiency in one or more languages (e.g., Java, C#, Go, Python) and experience building REST and/or gRPC services.
• Working knowledge of data stores (RDBMS and/or NoSQL) and distributed systems fundamentals.
• Experience with modern engineering practices: source control, code review, automated testing, CI/CD pipelines.
Preferred Qualifications
• Identity and Access Management (IAM) concepts: authentication, authorization, RBAC/ABAC, least privilege.
• Exposure to user provisioning services and lifecycle management (create/update/disable, entitlements, audit trails).
• Familiarity with SSO patterns and standards such as OAuth2/OIDC, SAML, SCIM (helpful but not required).
• Cloud experience preferred (OCI, AWS, Azure, or GCP), including cloud-native development and operations.
External Responsibilities
Key Responsibilities
• Design and implement backend services and APIs used by Oracle Health product teams.
• 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 (SRE/Operations, Security, Product, and other engineering teams).
• Produce and maintain documentation, runbooks, and operational playbooks.
AI-First Engineering Expectations
• 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).
Minimum Qualifications
• BS in Computer Science or related field (or equivalent practical experience).
• 3+ years of professional software development experience.
• Proficiency in one or more languages (e.g., Java, C#, Go, Python) and experience building REST and/or gRPC services.
• Working knowledge of data stores (RDBMS and/or NoSQL) and distributed systems fundamentals.
• Experience with modern engineering practices: source control, code review, automated testing, CI/CD pipelines.
Preferred Qualifications
• Identity and Access Management (IAM) concepts: authentication, authorization, RBAC/ABAC, least privilege.
• Exposure to user provisioning services and lifecycle management (create/update/disable, entitlements, audit trails).
• Familiarity with SSO patterns and standards such as OAuth2/OIDC, SAML, SCIM (helpful but not required).
• Cloud experience preferred (OCI, AWS, Azure, or GCP), including cloud-native development and operations.
