Principal Application Software Engineer

• Experience with healthcare technology or regulated industries.
• Familiarity with healthcare interoperability standards.
• Experience building large-scale SaaS platforms.
• Knowledge of AI, machine learning, or data engineering solutions.
• Strong problem-solving and communication skills.

Technologies and Areas of Focus

• Cloud-native architectures
• Distributed systems and microservices
• Kubernetes and container technologies
• Java, Python, Go, JavaScript, or related languages
• REST APIs and event-driven systems
• CI/CD and DevOps tooling
• Infrastructure automation
• Observability and monitoring platforms
• Healthcare interoperability standards (FHIR, HL7, SMART on FHIR)
• Artificial Intelligence and Machine Learning platforms
• Large-scale healthcare data management

• Partner with engineering, product, security, operations, and customer teams.
• Drive engineering excellence through best practices, mentoring, and technical leadership.
• Participate in roadmap planning and technology modernization efforts.
• Contribute to innovation initiatives focused on AI, cloud, healthcare interoperability, and next-generation healthcare experiences.

Oracle Health is investing heavily in the modernization of healthcare technology through:

• Next-generation cloud-native EHR platforms
• AI-first healthcare experiences embedded directly into clinical workflows
• Intelligent automation for clinicians and healthcare staff
• Advanced interoperability and healthcare data exchange
• Unified healthcare data platforms
• Conversational and agentic AI capabilities
• Healthcare-specific cloud services built on OCI
• Large-scale modernization of healthcare systems across providers, payers, and government organizations
• Expansion of secure, scalable healthcare infrastructure supporting global healthcare ecosystems

The long-term vision is to create an intelligent healthcare platform where clinical, operational, financial, and patient data work together seamlessly to improve healthcare delivery, reduce complexity, and accelerate innovation.

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