> Markdown version of [/jobs/ext/3781192-senior-software-developer-oracle-health-ai-platform-engineering](https://www.wearedevelopers.com/jobs/ext/3781192-senior-software-developer-oracle-health-ai-platform-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Developer - Oracle Health, AI Platform Engineering - **Company:** Oracle - **Location:** Santa Fe, NM, United States - **Experience:** Expert - **Salary:** $89,200 - $209,500 - **Contract:** Permanent contract - **Skills:** Cerner, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Code Coverage, Code Review, Continuous Integration, Data Stores, Relational Databases, DevOps, Distributed Systems, Identity and Access Management, Python (Programming Language), NoSQL, OAuth, OpenID, Role-Based Access Control, Runbook, Security Assertion Markup Language (SAML), Software Engineering, User Provisioning Software, Backend, AI Platforms, Information Technology, Oracle Cloud Infrastructure, Software Version Control, Golang - **Published:** October 16, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3451636383&tx=FL434FFF&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 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. ## Description 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., * 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).