N2 Services IncRemote
Senior Cloud Database Engineer Google Cloud Platform & AI Strategy
Remote
Contract
2 hours ago
$60 - $70 USD
Key skills
SQLAIMachine LearningMLGenAIGeminiBigQueryGoogle CloudIAMSpannerMongoDBCI/CDCollaboration
About this role
Top Requirements:
1. Bachelor Degree is REQUIRED
2. 5+ years in database engineering with Google Cloud Platform AI enablement focus.
3. AI/GenAI Familiarity: Experience with Gemini Enterprise (or similar) and understanding of MCP or equivalent patterns.
4. Data Governance: Experience with Dataplex and Knowledge Catalog for metadata and lineage.
5. Multi-Engine Proficiency: Hands-on experience with Google Cloud Platform databases including Cloud SQL, AlloyDB, Spanner, Firestore, Memorystore, MongoDB, and BigQuery.
6. Security & DevSecOps: Knowledge of Google Cloud Platform IAM, encryption, and CI/CD practices.
Key Responsibilities
- 1. AI-Driven Database Innovation GenAI Productivity: Lead the adoption of Gemini Enterprise for database engineering productivity (e.g., automated query writing, debugging, and schema optimization).
- Contextual AI Patterns: Define and implement patterns for integrating the Model Context Protocol (MCP) with databases to enable seamless, contextual AI interactions.
- Intelligent Automation: Identify and deploy AI-driven automation opportunities across the database lifecycle, including predictive capacity planning, anomaly detection, and self-tuning.
- AI/ML Collaboration: Partner with AI/ML teams to embed machine learning libraries, statistical modeling, and GenAI capabilities into broader data platform strategies.
- Agent Development: Build agents on top of database AI framework that drive business value fault detection and cost reduction in the OLTP space at source and instant value realization.