AI-Driven Cloud Database Architect

Google LLC; Vermont; On-site; USD 183,000 - 265,000; Full time

Job summary

Google Cloud is seeking a Databases Engineer to guide customers in designing, migrating, and optimizing intelligent multi-model database infrastructure. You will architect scalable, always-on databases to power AI agents and de-risk modernization journeys.

Work with enterprise customers, implement Terraform and AI integrations, and lead complex migrations using DMS and observability tools. Build secure, compliant, high-performance data environments across hybrid/multi-cloud setups.

Qualifications

• Bachelor's degree or equivalent experience in a technical field.
• 8 years' experience with Google Cloud Databases ( AlloyDB, Cloud SQL, Spanner, Firestore, Bigtable ).
• Strong experience with RDBMS ( PostgreSQL, Oracle, SQL Server ).
• Proven experience in Java and Python development, ORM (Hibernate), JDBC.
• IaC and AI integration using Terraform, LangChain, LangGraph.

Responsibilities

• Architect scalable, always-on transactional databases for AI agents.
• Lead migrations and modernization using automated onboarding, testing and observability.
• De-risk customer journeys and enable secure, multi-region deployments.
• Design agent architectures and integrate databases via MCP Toolkit.
• Drive proactive database SRE using real-time telemetry and remediation.

Skills

Google Cloud Databases

RDBMS proficiency

Java

Python

Terraform

LangChain

LangGraph

HA/DR design

Education

Bachelor's degree in CS or related field

Tools

PostgreSQL

Oracle

SQL Server

DMS

Job description

Google Cloud is seeking a Databases Engineer to guide customers in designing, migrating, and optimizing intelligent multi-model database infrastructure. You will architect scalable, always-on databases to power AI agents and de-risk modernization journeys.

Work with enterprise customers, implement Terraform and AI integrations, and lead complex migrations using DMS and observability tools. Build secure, compliant, high-performance data environments across hybrid/multi-cloud setups.