Principal Platform Software Engineer - Oracle Health Data & Analytics

Job summary

At Ora***’s Health Data Intelligence and Life Sciences organization, we are focused on transforming healthcare and improving the health of people globally. Whether it is helping bring new therapies to market faster or enhancing care delivery, we are transforming the experience of providers, payers, and life sciences organizations.

Qualifications

• Whether it is helping bring new therapies to market faster or enhancing care delivery, we are transforming the experience of providers, payers, and life sciences organizations.
• 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
• 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.

Responsibilities

• Partnering with product management, applied science and multiple development teams, you will be responsible for building software systems and end-to-end delivery to improve customer outcomes.
• You will drive operational excellence and best practices that enable us to deliver highly scalable and reliable cloud hosted software services.
• Implement key components in a multi-tenant data platform serving AI, agentic, and traditional analytics workloads, including ingestion, transformation, indexing, storage, and serving layers.
• Perform 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

Degrees

Industry

Company size

Security clearance