Senior Platform Software Engineer- Oracle Health

Oracle•United States,

4d•$87,800 - $209,500

About The Position

The Senior Platform Software Engineer owns moderately complex components within platform services or SDKs and leads team-level improvements to integration frameworks and developer tooling. The role involves deep debugging across a bounded set of distributed services, resolving issues that protect downstream consumers and upgrade paths, analyzing usage, performance, and error budgets for platform surfaces, and implementing targeted resilience and capacity optimizations. The engineer also authors and maintains team-scoped documentation, samples, and adoption guidance. The engineer designs and implements backend services and APIs used by Oracle Health product teams and delivers features end to end, from requirements clarification and technical design through implementation, testing, deployment, and operational support. The role includes production troubleshooting, participation in on-call and incident response, collaboration with SRE/Operations, Security, Product, and engineering teams, and maintaining documentation and operational playbooks. The position expects practical use of AI-assisted techniques and tools to improve developer productivity and quality, including prototyping, testing, refactoring, documentation, observability, and runbooks. Candidates are expected to validate AI-generated suggestions, apply sound engineering judgment, and follow enterprise security and privacy requirements when using AI tools. Oracle lists a U.S. hiring range of $87,800–$209,500 per annum. The role may also be eligible for bonus and equity. Oracle provides a comprehensive benefits package. Applications are generally accepted for at least three calendar days from the posting date or while the position remains posted.

Requirements

Bachelor of Science in Computer Science or a related field, or equivalent practical experience.
At least 3 years of professional software development experience.
Proficiency in one or more programming languages, such as Java, C#, Go, or Python.
Experience building REST and/or gRPC services.
Working knowledge of relational and/or NoSQL data stores and distributed systems fundamentals.
Experience with source control, code review, automated testing, and CI/CD pipelines.
Practical experience using AI-assisted techniques or tools to improve developer productivity and quality.
Ability to follow enterprise security and privacy requirements when using AI tooling.

Nice To Haves

Knowledge of Identity and Access Management concepts, including authentication, authorization, RBAC/ABAC, and least privilege.
Exposure to user provisioning services and lifecycle management, including create, update, disable, entitlements, and audit trails.
Familiarity with SSO patterns and standards such as OAuth2/OIDC, SAML, or SCIM; helpful but not required.
Cloud experience, including OCI, AWS, Azure, or GCP, and cloud-native development and operations.

Responsibilities

Design and implement backend services and APIs used by Oracle Health product teams.
Deliver features end to end, including requirements clarification, technical design, implementation, automated testing, deployment, and operational support.
Participate in code and design reviews and contribute to engineering practices involving testing, CI/CD, observability, and security.
Diagnose and resolve production issues; participate in on-call and incident response and drive follow-up actions.
Collaborate with SRE/Operations, Security, Product, and other engineering teams.
Produce and maintain documentation, runbooks, and operational playbooks.
Own moderately complex components within platform services or SDKs and lead team-level improvements to integration frameworks and developer tooling.
Debug issues across a bounded set of distributed services and drive fixes that protect downstream consumers and upgrade paths.
Analyze usage, performance, and error budgets for platform surfaces and implement targeted resilience and capacity optimizations.
Author and curate team-scoped documentation, samples, and adoption guidance.
Use AI-assisted techniques and tools to improve productivity and quality, while validating suggestions and following enterprise security and privacy requirements.

Benefits

Medical insurance, including expert medical opinion.
Dental insurance.
Vision insurance.
Short-term disability and long-term disability.
Life insurance and AD&D.
Supplemental life insurance for employees, spouses, and children.
Health care and dependent care Flexible Spending Accounts.
Pre-tax commuter and parking benefits.
401(k) Savings and Investment Plan with company match.
Paid time off, including flexible vacation for eligible salaried employees or accrued vacation for other eligible employees.
11 paid holidays.
Paid sick leave.
Paid parental leave.
Adoption assistance.
Employee Stock Purchase Plan.
Financial planning and group legal benefits.
Voluntary auto, homeowner, and pet insurance.
Potential bonus and equity eligibility.