Cloud Service Development Engineer

Oracle is seeking a Principal Data Systems Software Engineer (IC4) to design and build next-generation cloud-native and AI-powered capabilities for Oracle Database Cloud Platform. This role combines distributed systems engineering with modern AI application development including Generative AI LLMs AI agents and cloud-native architectures. The engineer will lead technical initiatives influence architecture decisions modernize platform capabilities and develop highly scalable services running on Oracle Cloud Infrastructure.

• Design architect and develop cloud-native services supporting Oracle Database on OCI.

• Build scalable AI-enabled platform capabilities leveraging LLMs AI agents RAG and modern AI architectures.

• Design provisioning lifecycle management monitoring automation and operational frameworks for Database Cloud services.

• Collaborate with Product Management Compute Engineering Operations and cross-functional Oracle engineering teams.

• Build production-grade distributed systems emphasizing scalability resiliency observability and security.

• Modernize existing platform components into intelligent AI-first cloud-native services.

• Integrate enterprise systems APIs databases and cloud services into AI-powered workflows.

• Troubleshoot production issues perform root cause analysis and provide Level 3 engineering support.

• Bachelors or Masters degree in Computer Science or related discipline.

• Strong experience building distributed systems and cloud-native applications.

• Hands-on experience developing Generative AI and LLM-based applications.

• Experience with:

  • Retrieval-Augmented Generation (RAG)

  • AI Agents

  • Prompt Engineering

  • Model Orchestration

  • Vector Databases

  • Embeddings

  • AI Evaluation Frameworks

• Production experience with AI/ML pipelines and inference services.

• Experience with OCI AWS Azure or GCP.

• Kubernetes Containers REST APIs Serverless technologies.

• Strong Python and/or Java programming.

• Experience with OpenAI SDKs Hugging Face or similar AI frameworks.

• Microservices and event-driven architectures.

• CI/CD DevOps/MLOps Infrastructure as Code (Terraform).

• Enterprise integrations with scalability observability and security considerations.

• AI Copilots or Agentic AI platforms.

• AI observability platforms.

• Prompt lifecycle management.

• Guardrails and Responsible AI.

• MCP (Model Context Protocol).

• Knowledge graphs.

• Semantic Search.

• Database internals.

• Linux internals.

• Performance engineering.

• AI Governance.

• Multi-tenancy.

• Service Level Objectives (SLOs).

• Enterprise workload modernization.

• Have I built production-grade Generative AI or LLM applications

• Have I designed distributed cloud-native systems running at enterprise scale

• Am I comfortable architecting AI applications using RAG AI Agents and Vector Databases

• Have I deployed AI models and production inference pipelines using Kubernetes or cloud platforms

• Can I independently design scalable microservices while mentoring other engineers

Career Level - IC4