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Google is seeking a Senior Software Engineer to join the Gemini Enterprise App Observability and Analytics team within Cloud AI. This role focuses on building critical data infrastructure, log processing engines, and automated experimentation pipelines. You will design and maintain scalable data pipelines, develop warehousing solutions, and implement data governance and quality monitoring systems to manage massive datasets. This position is ideal for experienced software engineers passionate about generative AI adoption and reliability within Google Cloud.
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.
Join the Gemini Enterprise App Observability and Analytics team! We are the 'lens' through which Google Cloud understands generative AI adoption, reliability, and business impact. Our team builds the critical data infrastructure, log processing engines, and automated experimentation pipelines that power our executive dashboards and guide product strategy.
As a Software Engineer on this team, you will design robust, compliant pipelines managing massive datasets and transition raw log signals into real-time metrics. You will directly influence how our customers measure their AI investment and how our engineering teams validate their feature rollouts