Oracle

Compensation

Full Description

At Multicloud Services organization, our mission is to support customer choice, transparency, and value when it comes to cloud infrastructure. We make it easy for our customers to maximize the value of their Oracle investment as well as other clouds or on-premises infrastructure, and build highly distributed, scalable, and resilient Multicloud solutions to support their business. Responsible for engaging with strategic and more complex engineering initiatives, building leadership relationships at multiple levels within organizations to design and implement solutions. Implement solutions and ensure successful deployments from Proof of Concept (POC) through production deployment of services. Provides leadership and expertise in the development of new solutions, products, and processes, and maintains expertise by staying current on emerging technologies. Primary Skills: Experience with LLMs and agentic frameworks (e.g., MCP, OpenAI, Cohere, LangChain, CrewAI). Knowledge of RAG pipelines and vector DBs (e.g., 23ai, FAISS, Pinecone, Weaviate). Familiarity with OCI Gen AI Services and model lifecycle workflows. Solid Python and REST API skills. Exposure to building autonomous agents and orchestration pipelines. Experience working with cloud platforms like Oracle Cloud Infrastructure (OCI) and Oracle Cloud Infrastructure Big Data Service (BDS), and Big Data Appliance (BDA). Proficiency in big data technologies such as Hadoop, Spark, Kafka, and NoSQL Design and implement scalable, secure, and efficient complex big data architectures. Manage and optimize large-scale databases. Must have a solid understanding of networking concepts to design and optimize data transmission networks, configure network settings, and diagnose and resolve network-related issues. Troubleshooting and problem-solving skills Excellent communication and collaboration skills Commitment to continuous learning and staying up-to-date with the latest big data technologies and trends