As a Consulting Member of Technical Staff, you will be a key contributor in designing and building the foundational infrastructure that powers Oracle’s next-generation HealthCare Product Suite. Our product is designed to automate complex healthcare workflows—from clinical decision support to patient communication to reimbursement processes. Your expertise in backend systems, data platforms, and distributed architecture will directly enable AI-first solutions that drive outcomes for clinicians, patients, and healthcare operations.
What you’ll do 
  Own end-to-end architecture for scalable, reliable distributed services and data platforms powering AI-first healthcare applications. Translate high-level system design into architectural documentation, drive engineering peer reviews, and lead technical decision-making. Prototype critical components, bootstrap projects, and contribute high-quality code with strong code review practices. Integrate and operate LLMs and agent-based architectures in production, including tool orchestration, retrieval, safety/guardrails, and monitoring. Partner closely with architects, principals, product, and program managers to deliver features on time and with high quality. Champion privacy-by-design, secure data handling, and operational excellence (observability, reliability, performance, and cost efficiency). Automate and instrument build, test, and deployment workflows to improve developer velocity and service resilience. Required qualifications 
  BS in Computer Science or related field (MS preferred) 10+ years building and operating distributed services at scale Strong coding skills in modern languages, notably Java and/or C++ Expert in system design, data architecture, and secure data handling/privacy-by-design Proven delivery with architects, principals, product, and program managers Working knowledge of networking (TCP/IP, HTTP) and standard network architectures Solid understanding of databases, NoSQL, storage, and distributed persistence Hands-on experience integrating, and operating LLMs and agent-based architectures in production (tool use/orchestration, retrieval, safety/guardrails) Preferred qualifications 
  Distributed data processing frameworks (Kafka, Flink, Ray) Search and retrieval technologies (OpenSearch, Pinecone, Vespa, vector databases) Cloud-native design and operations (containers, Kubernetes, service mesh, IaC), CI/CD and observability MLOps/LLMOps practices (model deployment, evaluation, prompt/version management, monitoring) Performance, scalability, and cost optimization for large-scale services Compliance, governance, and secure-by-default practices across the SDLC

Career Level IC5