Google Cloud Platform Database Engineer

We are seeking a Senior Cloud Database Engineer to join our Platform Engineering team. This role focuses on defining strategy, architecture, and standardized golden paths for cloud databases and the AI journey on Google Cloud Platform (Google Cloud Platform). You will act as a technical leader, shaping the vision and roadmap for our database platform, with a key focus on embedding AI/GenAI capabilities (e.g., Gemini Enterprise, Model Context Protocol, Dataplex, and Knowledge Catalog) into how engineering teams design, build, secure, and operate intelligent data systems at scale., ResponsibilitiesLead adoption of Gemini Enterprise for query generation, debugging, and schema optimization.Define patterns for integrating Model Context Protocol (MCP) with databases for contextual AI interactions.Identify and implement AI-driven automation across the database lifecycle, including capacity planning, anomaly detection, and self-tuning.Partner with AI/ML teams to integrate ML, statistical models, and GenAI into data platform strategies.Build intelligent agents on database AI frameworks to improve fault detection and reduce OLTP costs.Establish enterprise standards for metadata, including tagging, classification, lineage, and discoverability.Promote well-documented, discoverable datasets.Align with GDPR and HIPAA frameworks; manage Google Cloud Platform IAM, service accounts, role bindings, and encryption.Apply reliability practices to ensure availability, fault tolerance, and disaster recovery.Lead query optimization, indexing strategies, and troubleshooting across

distributed systems.Enable secure CI/CD pipelines for database code and configurations.Establish scalable, secure, self-service database architectures on Google Cloud Platform.Build and maintain Terraform templates for automated provisioning and lifecycle management.Architect across SQL (SQL Server, PostgreSQL, MySQL, AlloyDB, Spanner) and NoSQL (MongoDB, Firestore, Bigtable, Memorystore, Neo4j) with Cloud Functions and Cloud Run.Develop complex data models and reliable ETL pipelines integrating multiple data sources.Advise engineering, data, and AI teams on best practices.Foster an AI-assisted, platform-first culture and mentor engineers.

Skills RequiredGoogle Cloud Platform

Skills PreferredArtificial Intelligence & Expert Systems

Experience Required6+ years of experience in IT; 4+ years in development.5+ years in database engineering with a focus on Google Cloud Platform AI enablement.Experience with Gemini Enterprise and understanding of MCP or equivalent patterns.Hands-on experience with Google Cloud Platform databases including Cloud SQL, AlloyDB, Spanner, Firestore, Memorystore, MongoDB, and BigQuery.Knowledge of Google Cloud Platform IAM, encryption, and CI/CD practices.Experience building Internal Developer Platforms (IDPs).Google Cloud Platform Professional Cloud Database Engineer or Data Engineer.Proficiency in Terraform and programming (Python/Java).Experience with Kubernetes (GKE) and database operators.Understanding of statistical analysis, data modeling, and ML libraries.Education Required

Bachelor’s DegreeEducation Preferred

The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.