Senior Cloud Database Engineer Google Cloud Platform & AI Strategy

Remote • Posted 13 hours ago • Updated 13 hours ago
Contract W2
12 Months
Remote
$60 - $70/hr
Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

  • Artificial Intelligence
  • Capacity Management
  • Cloud Computing
  • Collaboration
  • Continuous Delivery
  • DevSecOps
  • Encryption
  • Generative Artificial Intelligence (AI)
  • Continuous Integration
  • Google Cloud Platform
  • Machine Learning (ML)
  • Meta-data Management
  • Cost Reduction
  • Data Governance
  • Database
  • Debugging
  • FOCUS
  • Innovation
  • Microsoft Certified Professional
  • MongoDB
  • OLTP
  • Optimization
  • Productivity
  • SQL
  • Statistical Models

Summary

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10244982
  • Position Id: 9004794
  • Posted 13 hours ago
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BT

Bala Theeran

Recruiter @ N2 Services Inc
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