Staff Software Engineer, AI Intelligent Database Management

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Intelligent Database Management offers centralized and AI-assisted capabilities for enterprises to monitor and manage database fleets at scale.

For customers with hundreds of database instances across many projects and many database products, Database Center and the Virtual Database Administrator Agentic experience provide an organization-wide, cross-product unified fleet health platform, offering actionable insights and empowering customers to make informed optimization decisions.

It integrates with multiple Cloud Databases and Google Cloud Platform (GCP) services to collect/aggregate the relevant health signals and powers a fleet health dashboard and LLM based conversational agent to enable customers to easily pinpoint issues and take corrective actions in their database fleet.

Responsibilities

• Provide technical leadership on high-impact projects.
• Influence and coach a distributed team of engineers.
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
• Manage project priorities, deadlines, and deliverables.
• Design, develop, test, deploy, maintain, and enhance large scale software solutions.