Senior Database Engineer
JOB SUMMARY
Database engineer who will 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.
Key Responsibilities
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
Required Qualifications
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
Education / Experience / Certification
- Bachelor's degree in computer science or related field (required)
- 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
- Deep expertise in database internals, expert-level PL/SQL, SQL, and Python/Shell programming
Preferred Qualifications
Education / Experience / Certification
- Master's degree in computer science, Data Science, or AI/ML (preferred)
- 2+ years of hands-on experience with Generative AI, LLMs, or ML pipelines in a production environment (preferred)
Technical Skills 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
Certifications
- Oracle Certified Professional (OCP) (huge plus)
- AWS Certified Machine Learning Specialty (plus)