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Key skills for this role
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).
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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).
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.
Technology company specializing in search, advertising, cloud computing, and AI
Visit company websiteJobs and hiring trendsUSD 127000-182000 / year
Mid · 3+ years experience
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