Software Developer 4

Oracle•United States,

5d•$99,600 - $234,600

About The Position

As a Principal of Technical Staff, you will be a key contributor to the development and success of our next-generation CDA platform, which leverages the power of generative AI and cloud-native technologies. Your expertise in data platform engineering will drive the creation of a robust and intelligent system, enhancing the healthcare experience for patients and clinicians alike. 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.

Requirements

Expertise in data platform engineering
Experience with data ingestion, storage, processing, and retrieval systems
Experience with data modeling and database design
Experience with search technologies and natural language processing (NLP)
Experience with ETL/ELT processes
Experience with tools like Kafka, Flink, and RabbitMQ
Knowledge of data security and privacy implementation (access controls, encryption)
Knowledge of healthcare regulations compliance
Familiarity with cloud-native AI/ML technologies

Nice To Haves

Experience as a Principal of Technical Staff

Responsibilities

Design and implementation of the CDA data platform, ensuring it is scalable, secure, and optimized for AI-driven applications.
Collaborate closely with the CDA team, including AI researchers, software developers, and healthcare domain experts, to define and refine the platform's architecture.
Develop and maintain the backend infrastructure, focusing on data ingestion, storage, processing, and retrieval systems.
Implement data modeling and database design to support complex healthcare data structures and relationships.
Integrate search technologies and natural language processing (NLP) capabilities to enable conversational search, semantic search, and summarization features.
Build and optimize data pipelines using ETL/ELT processes and tools like Kafka, Flink, and RabbitMQ for efficient data flow.
Ensure data security and privacy by implementing access controls, encryption, and compliance with healthcare regulations.
Mentor and guide junior engineers, fostering a culture of knowledge-sharing and technical excellence.
Stay updated with the latest advancements in cloud-native AI/ML technologies and propose innovative solutions to enhance the CDA platform.