USA
1 day ago
Member of Technical Staff

Oracle's AI Data Platform is accelerating enterprise AI and redefining how AI applications are built.  

The AI Data Platform team is seeking a Member of Technical Staff (IC2) to build and operate scalable, distributed, and resilient software components and services to support the AI Data Platform product, with a focus on the AI/ML features and functionality. 

Responsibilities:  

Help drive next-generation AI capabilities, with a focus on microservices, using Oracle standard tools, technology and development practices along with leading open-source frameworks  Deliver high-quality software components as part of the AI Data Platform product  Work with technical leads to ensure new capabilities are built with right design principles  Work with remote and geographically distributed teams to operate complex cloud systems including participation in on-call rotation and related operational activities  Ready to learn and jump into new areas and domains 

Qualifications: 

BS/MS in Computer Science or equivalent experience  Experience implementing and operating cloud services  Strong proficiency in Java and related technologies. Python experience is also desired.  Cloud development experience on one of the major platforms (Oracle, AWS, Azure, GCP)  Solid understanding of networking concepts, security principles, and best practices.  Experience with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools for managing distributed systems  Familiarity with DevOps automation and tools for continuous integration, deployment, and monitoring (e.g., Terraform, Jenkins, GitLab CI/CD, Prometheus).  Excellent problem-solving skills, with the ability to troubleshoot complex issues   Strong communication skills, with the ability to work effectively in cross-functional teams  AI/ML experience (highly desired):  Experience building Generative AI, Agentic, and/or RAG systems  Familiarity with latest open-source AI models/frameworks (Llama, LangGraph, etc)  Understanding of ML Ops and related tooling / infrastructure 
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