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Senior Software Development Engineer, AI Data Platform
Oracle - United States, USIndexed from Oracle Custom Benefit evidence checked May 7, 2026 Comp disclosed in posting2w agoWhy we showed this
Source-backed benefitsUnspecified Engineering From the posting source - Senior From the posting source Resolvable source Verified parental leave: 14 wksource Resolvable source Verified non-birth-parent leave: 14 wksource $79K-$178K From the posting source Inferred from posting Adoption assistance Equity Inferred from posting 401(k) reportedSenior Software Development Engineer, AI Data Platform United States, US Oracle's Forward Deployed Engineer (FDE) team is hiring a Senior Software Development Engineer - AI Data Platform to help global customers unlock the full potential of their data. You will provide expert architectural guidance focused on designing, optimizing, and scaling modern AI/ML-centric data platforms. As a key member of Oracle's Analytics and AI Service Excellence organization, you will work closely with enterprise customers, product management, and engineering to ensure seamless adoption of Oracle AI Data Platform, Gen AI services, and associated cloud technologies. Key Responsibilities: Strong data engineering, HPC, and data science experience. Spark, PySpark, Delta Lake, Parquet, Feature Extraction, MLOps, Flink, with a deep understanding of the distributed systems techniques that make these services work. Full stack development experience. This includes web app development, RESTful APIs, SSE, all the way to deploying your solution. Design, implement, and maintain scalable software components and services that support AI/ML workloads. Build APIs, SDKs, and automation frameworks to streamline the adoption of Oracle AI Data Platform and Gen AI services. Optimize performance, scalability, and reliability of distributed data/AI systems. Collaborate with cross-functional teams (engineering, product, and field) to solve complex technical challenges. Participate in code reviews, testing, and CI/CD to ensure high-quality deliverables. Document technical designs and contribute to knowledge-sharing (e.g., blogs, internal docs, demos). Continuously explore new tools, frameworks, and best practices in AI, cloud, and data engineering. Primary Skills: Experience with LLMs and agentic frameworks (e.g., MCP, LangChain, CrewAI, Semantic Kernel).
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