Principal Platform Software Engineer - Oracle Health Data & Analytics

Responsibilities

• Implement key components in a multi-tenant data platform serving AI, agentic, and traditional analytics workloads, including ingestion, transformation, indexing, storage, and serving layers.
• Serve as the technical leader responsible for component design, implement and deliver features that increase the adoption of the data platform by AI-first and agent-based architectures.
• Use strong technical knowledge to help resolve complex issues and dissect issues inherent in the design or implementation of technologies.
• Ensure platform architectures and operations meet standards for scale, reliability, resilience, security, compliance, and cost efficiency in regulated healthcare environments.

Qualifications

• 7+ years relevant experience, BS or MS degree in CS or equivalent relevant experience.
• Highly proficient in Java, Python, or similar languages.
• Strong understanding of cloud concepts and cloud native services on OCI, AWS, Azure or GCP, and ability to apply this knowledge toward development and running of cloud hosted software solutions.
• Strong knowledge of distributed storage systems including data warehouses and lakehouse/table formats.
• Hands-on experience with streaming + CDC and large-scale batch processing (Spark, Flink, etc.).

Preferred Qualifications

• Experienced with: Multi-modal persistence patterns such as relational, document, vector, and graph storage.
• Search (lexical, vector, hybrid) and retrieval (MCP) for AI use cases.
• Applied LLM/NLP for extraction, entity resolution/linking, enrichment.
• Data governance and compliance: classification/tagging, lineage, retention, audit logs, access controls, and secure handling of PHI/PII.