Senior Database Engineer

If you are a passionate database engineer who would love to sit at the intersection of traditional enterprise database engineering and the emerging Gen AI revolution — building next-generation, AI-powered data solutions that transform how tens of thousands of users interact with the largest Human Capital Management system then we have a perfect role for you and we would like to have a discussion with you.

• Core Database Engineering
• Design and build scalable database services and solutions to complex business problems
• Debug critical database issues and provide root-cause analysis with long-term solutions
• Research, Design, Develop, and/or modify applications using SQL, PL/SQL, Python, and AI-assisted development tools
• Prototype solutions and recommend adoption of new technologies including Generative AI and LLM-powered database tooling
• Development and Deployment of application database changes/releases across production and non-production environments
• Build and maintain LLM-powered database assistants using frameworks such as LangChain, LlamaIndex, or similar
• Develop Retrieval-Augmented Generation (RAG) solutions using structured/unstructured data from Oracle and PostgreSQL databases
• Integrate AI-powered query optimization tools to enhance database performance tuning workflows
• Leverage GitHub Copilot, Amazon Q, or similar AI coding assistants to accelerate PL/SQL and Python development
• Build vector database integrations (pgvector, Oracle AI Vector Search) for semantic search capabilities
• Evaluate and adopt AI/ML model serving patterns (batch vs. real-time inference) for database-adjacent workloads
• Drive prompt engineering best practices for database-related AI applications

Technical Skills

Required

• Programming: Python, Shell scripting
• Oracle Features: VPD, Partitioning, Expert-level Performance Tuning, JSON data in databases
• AI/ML: Prompt Engineering, NL2SQL, Text-to-SQL systems

Preferred

• Cloud AI Services: AWS SageMaker, Azure ML