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.

Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing [email protected] or by calling 1-888-404-2494 in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Responsibilities:
Key Responsibilities
 

• 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.

  
  

Qualifications & Skills
Mandatory
 

• Bachelor's or Master's 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.

  
  

Good to Have
 

• 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.

  
  

Self-Assessment Questions
 

• 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?

  
  

Qualifications:

Career Level - IC4