Principal Platform Software Engineer - Oracle Health Data & Analytics

Oracle•United States,

13d•$105,900 - $234,600

About The Position

Oracle’s Health Data Intelligence and Life Sciences organization is focused on transforming healthcare and improving health globally. The Oracle Health Data Services (OHDS) data platform supports software products by transforming, enriching, persisting, and serving large-scale health and life sciences data for AI agentic and application use cases. The Principal Software Developer will help advance the OHDS data platform. Working with software architects, the role contributes to system design and leads component design, implementation, and delivery of scalable data processing, storage, and retrieval projects for agentic and traditional workloads. The position partners with product management, applied science, and multiple development teams to build software systems and deliver end-to-end improvements to customer outcomes. It also drives operational excellence and best practices for highly scalable and reliable cloud-hosted services.

Requirements

At least 7 years of relevant experience.
Bachelor’s or master’s degree in computer science, or equivalent relevant experience.
High proficiency in Java, Python, or similar programming languages.
Strong understanding of cloud concepts and cloud-native services on OCI, AWS, Azure, or GCP, and ability to apply this knowledge to developing and running cloud-hosted software solutions.
Strong knowledge of distributed storage systems, including data warehouses and lakehouse/table formats.
Hands-on experience with streaming, change data capture (CDC), and large-scale batch processing such as Spark or Flink.
U.S. citizenship and eligibility to obtain and maintain a Federal Security Clearance.

Nice To Haves

Experience with multi-modal persistence patterns such as relational, document, vector, and graph storage.
Experience with lexical, vector, or hybrid search and retrieval (MCP) for AI use cases.
Experience applying LLM/NLP for extraction, entity resolution/linking, and enrichment.
Experience with data governance and compliance, including classification/tagging, lineage, retention, audit logs, access controls, and secure handling of PHI/PII.

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.
Perform component design and implement and deliver features that increase 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.
Collaborate with software architects on system design and serve as a technical leader responsible for component design.
Partner with product management, applied science, and multiple development teams to build software systems and deliver projects end to end.
Drive operational excellence and best practices for scalable and reliable cloud-hosted software services.