Senior Platform Software Engineer

Oracle is a leading company in AI and cloud solutions, seeking a Senior Platform Software Engineer to contribute to the development of their next-generation CDA platform. This role involves designing and implementing a robust data platform for AI-driven healthcare applications while collaborating with various teams to enhance patient and clinician experiences.

Responsibilities:

• Design and implement the CDA data platform, ensuring it is scalable, secure, extensible, and optimized for AI-driven healthcare 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 backend infrastructure, focusing on data ingestion, storage, processing, indexing, and retrieval systems
• Implement data modeling and database design for complex healthcare data structures, including FHIR resources, EHR integration patterns, HL7, and other clinical data models
• Integrate search technologies and natural language processing capabilities to enable conversational search, semantic search, summarization, and reliable retrieval over indexed healthcare data
• Build and optimize data pipelines using ETL/ELT processes and tools like Kafka, Flink, and RabbitMQ for efficient data flow
• Ensure data security and privacy by implementing access controls, encryption, auditability, data isolation, 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, healthcare interoperability, and data platform technologies, and propose innovative solutions to enhance the CDA platform

Requirements:

• BS or MS degree in Computer Science or a related field is required, with a strong academic background
• 4+ years of relevant software development experience, with a focus on backend, platform, or 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, distributed systems, and microservices architecture
• Hands-on experience designing and operating backend services, APIs, data pipelines, and data transformation workflows
• Hands-on experience with cloud-native development on major cloud platforms such as OCI, Azure, GCP, or AWS; familiarity with Kubernetes, Docker, Helm, or similar infrastructure technologies; and experience with CI/CD, automated testing, integration testing, and regression testing
• Strong production engineering instincts, including monitoring, troubleshooting, incident response, operational readiness, and preferred familiarity with multi-tenant systems, data isolation, authorization, access controls, and auditability
• Excellent communication skills for conveying complex technical concepts to both technical and non-technical stakeholders
• Demonstrated technical leadership, ownership of ambiguous problems, and a passion for mentoring junior team members
• Preferred experience working with healthcare data, FHIR resources, EHR integration patterns, HL7, clinical data pipelines, or similarly complex domain-specific data contracts
• Desired experience with technologies such as OpenSearch, Elasticsearch, Kafka, Redis, Object Storage, Flink, RabbitMQ, or similar distributed data platform technologies
• Strong documentation habits, including onboarding guides, data specifications, runbooks, and examples, are preferred