The Oracle Health Data Intelligence organization builds and operates the data processing and intelligence platforms that power Oracle Health applications, national healthcare systems, and health analytics products supporting more than 500 million patients worldwide.
Within HAIDP, the Agentic Apps-HAIDP & RES team owns a broad, business-critical portfolio across Oracle Health. The team is responsible for Health AI Data Platform capabilities, Rules Execution Service, Federal VA initiatives, Disaster Recovery build and support, New Federal OCI regional build work, Medical Device and regulatory readiness, RES enhancements, and the Agentic AI Data Platform roadmap.
Over the next 18 months, the team's scope will continue to expand across platform modernization, Federal VA delivery, OnPrem to OC3 migration, VA Fed DR development and testing, regional build support, modular AI-first architecture, regulatory scope reduction, EHR workflow integration, and delivery of AI Agent Health capabilities into FY27 and beyond.
This role requires engineers who can take ownership of ambiguous, high-impact problems; understand platform, customer, and operational impact; collaborate across teams; and drive work from design through implementation, validation, and production readiness.

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Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

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Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

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We're looking for highly skilled experienced engineers to design and build high-scale, cloud-based data processing systems that ingest and transform massive amounts of data at low latency. You will work in software engineering teams performing design, implementing code, testing, delivering software to customers, and continue supporting the software in production.

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Career Level - IC3

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What you will do:

Participate and contribute to design discussions to build distributed, scalable, and fault-tolerant software systems.
Implement and build cloud services on top of the modern OCI infrastructure.
Participate in the entire software lifecycle, from design to development, to quality assurance, and to production.
Invest in the best engineering and operational practices upfront to ensure our software quality bar is high.
Optimize data processing pipelines to improve throughput and latency.
Leverage industry-leading tools at OCI to develop, build, deploy, and troubleshoot software.

What you will need:

Bachelor's degree in computer science or related discipline required.
Experience with distributed data processing systems (e.g. Hadoop, Kafka).
Hands on experience writing code with modern procedural programming languages such as Java and Python.
Good understanding of design concepts and ability to design software components in a distributed system.
Effective communication of technical ideas verbally and in writing, including technical proposals, design specs, architecture diagrams, and presentations.
Ability to collaborate effectively with the team and other stakeholders.
+5 years of relevant experience

Preferred Qualifications:

Experience with production operations including deployment, monitoring, alerting, and troubleshooting issues when they arise.
Experience with containerized service development and operations.
Production experience with Cloud service providers (e.g. OCI, AWS, Azure).