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

Job summary

Leads platform projects crossing multiple teams, evolving runtimes or middleware patterns for interoperability and multi-tenant scale. Diagnoses and resolves complex cross-service issues; enforces versioning, compatibility, and safe rollout practices. Drives observability standards, capacity planning, and resilience patterns across several workloads.

Benefits

Qualifications

• Produces migration guides and adoption playbooks that raise ecosystem consistency and developer experience.
• 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 Ora*** Database and search
• and are excited to contribute to the future of healthcare technology, we encourage you to apply.
• Please submit your updated resume Let’s discuss how you can help us transform the healthcare industry through the power of AI and innovative data platform engineering!

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

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Degrees

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