REMOTE- Senior Platform Software Engineer- Health

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).

• 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 No
  
  SQL) and distributed systems fundamentals.
• Experience with modern engineering practices: source control, code review, automated testing, CI/CD pipelines.

• 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).

• 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,…