Description

• 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

Quality & Leadership
·                Self-reliant, hands-on technical leader driving code quality, AI governance, and database AI practices
·                Collaborate with database peers, product owners, UX/UI, and globally distributed teams on AI-enhanced database solutions
·                Define engineering best practices including AI-assisted Test-Driven Development (TDD) and automated unit testing for database development
·                Mentor teams on AI tool adoption, prompt engineering, and AI use in data engineering
·                Develop specifications for new database services incorporating AI-native design patterns
·                Meet deadlines and manage multiple, dynamic priorities in an agile environment

Education / Experience / Certification
·                Bachelor's degree in computer science or related field (required)
·                Master's degree in computer science, Data Science, or AI/ML (preferred)
·                10+ years of experience as a Database Developer/DBA in a fast-paced agile environment
·                7+ years as an Oracle Developer/DBA with expert-level PL/SQL and SQL skills
·                2+ years of hands-on experience with Generative AI, LLMs, or ML pipelines in a production environment (preferred)
·                Deep expertise in database internals, expert-level PL/SQL, SQL, and Python/Shell programming
·                Oracle Certified Professional (OCP) (huge plus)
·                AWS Certified Machine Learning Specialty (plus)

Technical Skills

Required

·                Databases: Oracle, MSSQL, PL/SQL, SQL

·                Programming: Python, Shell scripting

·                DevOps: Git, Jenkins, Ansible, Artifactory

·                Cloud: AWS

·                OS: Linux/RedHat

·                Oracle Features: VPD, Partitioning, Expert-level Performance Tuning, JSON data in databases

·                AI/ML: Prompt Engineering, NL2SQL, Text-to-SQL systems

Key Skills

Education

Bachelor's or Master's degrees