Oracle 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

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

· 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

Preferred

· Databases: RDS Oracle, RDS PostgreSQL

· AI/ML: LangChain, LlamaIndex, RAG pipelines, Vector stores(pgVector)

· LLM Platforms: OpenAI API, Azure OpenAI, AWS Bedrock

· DevOps: Bitbucket, CI/CD for AI model deployment

· Cloud AI Services: AWS SageMaker, Azure ML

· Oracle Advanced Features: Golden Gate, Cloud Control, Golden Gate BDA