Agentic Data Cloud Databases Engineer, Google Cloud

re-zoo-me; Kirkland (WA); On-site; USD 127,000 - 182,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

PTO 20 days per year

Sick time 40 hours/year

Maternity leave

Baby Bonding leave

13 paid holidays

Job summary

Google Cloud Consulting Professional Services seeks a Databases Engineer to design, migrate, and optimize intelligent, multi-model database infrastructure for AI agents. You will work with enterprise customers to architect scalable, always-on transactional databases that power AI agents.

The role emphasizes automated onboarding, testing, migration, observability, and secure data practices, with opportunities to support AI-driven analytics across modern pipelines.

Qualifications

• Bachelor's degree or equivalent experience in CS/IS or related field.
• 3 years of experience with Google Cloud Databases (AlloyDB, Cloud SQL, Spanner, Firestore, Bigtable).
• Experience with PostgreSQL, Oracle, SQL Server including design and concurrency.
• Experience in Java, Python, build systems, ORMs (Hibernate), JDBC.
• Experience with IaC and AI, including Terraform and AI integration via LangChain/LangGraph.
• Experience with performance/HA/DR and multi-region recovery.

Responsibilities

• Designs and manages unified, multi-model database solutions for AI agents.
• Lead complex database modernizations using migration agents (DMS).
• Shift DB SRE to AI-driven management using Gemini Database Center and Observability Agent.
• Implement QueryData APIs and translate NL queries to SQL with high accuracy.
• Establish security, encryption, and IAM policies per best practices.

Skills

Google Cloud Databases

Java

Python

Terraform

LangChain

LangGraph

RDBMS

Performance tuning

HA/DR

Education

Bachelor's degree in Computer Science or related field

Master’s degree in Engineering/CS/Business (preferred)

Tools

Database Migration Service (DMS)

MCP Toolbox

Gemini analytics

Observability Agent

Job description

In most instances, this position requires in-person interviews as part of the hiring process.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year
  
  

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Addison, TX, USA; Austin, TX, USA; Chicago, IL, USA; Kirkland, WA, USA.Minimum qualifications:

• Bachelor's degree in Computer Science, Information Systems, a related technical field, or equivalent experience.
• 3 years of experience with Google Cloud Databases (e.g., AlloyDB, Cloud SQL, Spanner, Firestore, and Bigtable).
• Experience with RDBMS such as PostgreSQL, Oracle, and SQL Server (e.g., engines, schema design, and concurrency).
• Experience in application development using Java, Python, build systems, ORMs (e.g., Hibernate), and JDBC.
• Experience with IaC and AI, including Terraform provisioning and AI integration via LangChain and LangGraph.
• Experience with performance and HA/DR (e.g., diagnosing execution plans, wait states, indexing, connection pooling, replication, automated failover, multi-region DR, and point-in-time recovery).
  
  

Preferred qualifications:

• Master’s degree in Engineering, Computer Science, Business, or a related field.
• Certifications: Professional Cloud Database Engineer.
• Experience using Gemini analytics and Observability Agents to diagnose plans, resolve contentions, optimize pooling, and benchmark.
• Experience managing hybrid/multi-cloud data environments or migrating to Google Cloud.
• Knowledge of AI-native database design, combining RDBMS expertise with vector and graph technologies, and tying databases into modern pipelines (e.g., Dataflow, CDC).
• Ability to design agent architectures (routing, state management) and integrate databases via MCP Toolbox for secure endpoints.
  
  

About the jobThe Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

The Agentic Data Cloud Databases Engineer guides customers through designing, migrating, and optimizing intelligent, multi-model database infrastructure built for the agentic era. The engineer works closely with enterprise customers to architect scalable, always-on transactional databases that serve as the contextual "brain" and real-time execution engine for AI agents. By leveraging automated onboarding, testing, migration, and observability database agents, you will de-risk the customer modernization journey and deliver paved, secure paths to enterprise-wide AI innovation.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $127000 - $182000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Designs and manages unified, multi-model database solutions (including relational, key-value, graph, and vector search engines). Deploys MCP servers to expose databases as secure, standardized interfaces for AI agents.
• Lead complex database modernizations using migration Agents. Standardizes source-to-destination transfers, utilizing tools like the Database Migration Service (DMS).
• Shift database SRE to proactive, AI-driven management. Utilizes the Gemini-powered Database Center and the Database Observability Agent to consume real-time telemetry, automate workload simulations, perform root-cause analysis, and apply remediations.
• Implement QueryData APIs and database-specific contexts to build conversational analytics experiences, translating natural language business queries into SQL with high accuracy.
• Establish security protocols, encryption, and access control policies (IAM) aligned with industry regulations and Google Cloud best practices.
  
  
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .