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Join Google Cloud's Gemini Enterprise App Observability and Analytics team as a Software Engineer. You will design and build essential data infrastructure, log processing engines, and experimentation pipelines to track generative AI adoption, reliability, and business impact. This role is for engineers who want to influence how customers measure AI investments and how engineering teams validate feature rollouts by working with massive datasets and real-time metrics.
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 compliant pipelines managing massive datasets and transitioning 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.
The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.