Agentic Data Cloud Database Engineer, Google Cloud

What you'll do

• Design and manage multi-model database solutions and deploy MCP servers for secure AI-agent access.
• Lead database modernization and migration; use AI-driven telemetry, workload simulations, root-cause analysis, and remediation to improve operations.
• Build conversational analytics with QueryData APIs and implement security, encryption, and access controls.

What they ask for

• Bachelor's degree in Computer Science, Information Systems, a related technical field, or equivalent experience.
• 8 years of experience with Google Cloud Databases.
• Experience with RDBMS such as PostgreSQL, Oracle, and SQL Server, and application development using Java, Python, build systems, ORMs, and JDBC.
• Experience with Terraform, AI integration via LangChain and LangGraph, and database performance and HA/DR.

Nice to have

• Master’s degree in Engineering, Computer Science, Business, or a related field; Professional Cloud Database Engineer certification.
• Experience with Gemini analytics and Observability Agents, hybrid/multi-cloud environments, AI-native database design, or agent architectures and MCP Toolbox.

Pay

$183000 - $265000 USD (base salary)

Tools

AlloyDB, Cloud SQL, Spanner, Firestore, Bigtable, PostgreSQL, Java, Python

AI focus

Designs database infrastructure for AI agents; deploys database agents and MCP servers, applies Gemini-powered observability and management, and builds conversational natural-language-to-SQL analytics.