[REMOTE] Principal Platform Software Engineer- Oracle Clinical Digital Assistant

Responsibilities

• Lead the design and implementation of the AI-Assist 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.
• 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.

Qualifications

• BS or MS degree in Computer Science or a related field is required, with a strong academic background.
• 6+ years of relevant software development experience, with a focus on backend and data-centric applications.
• Proficient in Java, Python, or similar object-oriented languages for building robust backend systems.
• Strong software engineering fundamentals, including expertise in data structures, algorithms, RESTful services, and microservices architecture.
• Hands-on experience with cloud-native development on major cloud platforms (OCI, Azure, GCP, AWS) is essential.
• In-depth knowledge of data architecture, including database design, data modeling, analytics, metadata management, and data-access controls.
• Proficiency in Oracle Database and search technologies such as Opensearch, Pinecone, and Oracle Golden Gate Replication.
• Understanding of system design and distributed systems architecture best practices.
• Familiarity with cloud engineering infrastructure and containerization (Kubernetes, Docker).
• Excellent communication skills for conveying complex technical concepts to both technical and non-technical stakeholders.
• Demonstrated technical leadership and a passion for mentoring junior team members.