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Strong Tier‑1 brand and metro location increase competition, while role specialization reduces applicants.
Domain-specific databases, cloud, and distributed-systems expertise makes cross-industry transferability low.
Explicit years, technical leadership, and specialized database/cloud requirements enforce strict screening.
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Lead design and delivery of innovative products for Google Cloud Platform databases within the Database Intelligence Platform team.
Provide technical leadership and collaboration across product and engineering teams to drive AI agents, data platform, and MCP server initiatives for database management.
Manage cross-team alignment and engage in design and code reviews to uphold best practices and continuous improvement across multiple GCP database teams.
Bachelor’s degree or equivalent practical experience.
At least 8 years of software development experience.
Minimum 3 years in technical leadership roles, including 2 years in people management or team leadership.
Experience in developing large-scale infrastructure, distributed systems, networks, compute technologies, storage, or hardware architecture.
Experienced in building and maintaining data platforms and databases with performance troubleshooting expertise.
Familiar with observability tools such as Datadog, Prometheus, ELK, or OTel to support database and infrastructure monitoring.
Capable of managing large-scale, multi-location engineering teams and product budgets in a complex cloud environment focused on AI-driven database management solutions.