Senior Platform Software Engineer- Oracle Health

Oracle is hiring a Senior Platform Software Engineer to build and operate backend services and APIs used by Oracle Health product teams. The role delivers features end to end, improves reliability and engineering practices, resolves production issues, and maintains operational documentation, with AI-assisted tools used in day-to-day development.

Responsibilities:

• Owns moderately complex components within platform services or SDKs; leads team-level improvements to integration frameworks and developer tooling
• Performs deep debugging across a bounded set of distributed services, driving fixes that protect downstream consumers and upgrade paths
• Analyzes usage, performance, and error budgets for specific platform surfaces; implements targeted resilience and capacity optimizations
• Authors and curates team-scoped documentation, samples, and adoption guidance
• 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
• 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:

• Applicants are required to read, write, and speak the following languages: English
• 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
• 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