Responsibilities
- Develop and enhance Oracle Health Insurance modules supporting enrollment, benefits, claims, and payments.
- Build scalable microservices and APIs for healthcare payer workflows.
- Design, implement, test, deploy, debug, and troubleshoot software components and applications.
- Develop healthcare-standard and EDI integrations, including transactions such as 837, 834, and 835.
- Contribute to AI, automation, LLM, and agent-based software initiatives.
- Provide technical leadership to other software developers and make modest changes to existing software architecture.
- Collaborate with distributed engineering, product management, architecture, QA, and customer implementation teams.
Requirements
- BS or MS in Computer Science or a related field.
- 3–7 years of software engineering experience.
- Strong programming skills in Java and/or Python.
- Experience with REST APIs, distributed systems, SQL, databases, and cloud technologies such as OCI, AWS, or Azure.
- Knowledge of software design patterns and object-oriented design.
- Experience in Agile development environments, CI/CD pipelines, and automated testing.
- Experience using AI-assisted software development tools and modern developer productivity technologies.
- Preferred: healthcare payer knowledge and experience with claims processing, enrollment, benefits administration, provider payments, Medicare, Medicaid, commercial insurance workflows, EDI transactions, GenAI, prompt engineering, or AI agents.
Benefits
- Competitive benefits including flexible medical, life insurance, and retirement options.
- Employee volunteer programs and opportunities to give back to communities.
- Accessibility assistance and disability accommodations are available throughout the employment process.
About Oracle
Oracle is a global leader in AI, delivering the cloud infrastructure, data, and applications that organizations across the world trust to successfully achieve business outcomes at scale. Oracle Cloud Infrastructure (OCI) provides fast, flexible, scalable AI infrastructure. With superior compute performance and network design, a comprehensive choice of AI services for developing and orchestrating agentic AI workflows at scale, and unrivaled data control, security, privacy, and governance, OCI is designed for AI workloads. It also gives customers the flexibility to run their workloads wherever they need by supporting public cloud, multicloud, hybrid cloud, sovereign, and on-premises deployments. The Oracle AI Database is the only database with AI natively built in everywhere. By bringing AI to where data lives, the Oracle AI Database delivers enterprise-grade AI securely, cost-effectively, and at scale. In-database machine learning and vector search enable AI models to run where data resides. Support for multi-modal data (structured, unstructured, graph, vector) enables richer AI use cases. The Oracle AI Data Platform enables organizations to build, deploy, and govern AI agents and applications on top of private, secure, and distributed enterprise data. This enables organizations to operationalize AI without compromising data security or control. Oracle Applications embed AI directly into business workflows and industry processes to ensure AI is delivered in context, where work happens. They include the only applications suite that brings AI to every aspect of a business, with AI-powered ERP, HCM, and CX applications, and the Oracle Health Suite which provides applications for managing the entire healthcare ecosystem. Oracle also provides industry-specific cloud application suites for more than two dozen industries and NetSuite, the world’s first cloud computing company. This LinkedIn page serves as Oracle’s official global company page.