Staff Software Engineer, Gemini Enterprise App, Cloud AI

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.

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.

Responsibilities

• Define the multi-year architectural goal and technical roadmap for the Gemini Enterprise metrics ecosystem, aligning investments with broader Cloud AI product goals.
• Own critical design choices for high-throughput batch and streaming pipelines, translating highly ambiguous requirements into scalable and maintainable systems.
• Enforce strict SLAs/SLOs for production datasets and lead targeted investments to optimize cloud infrastructure costs, automate toil, and drive incident postmortems.
• Act as the primary engineering liaison to Data Science, Product, and Engineering leaders to align project timelines and build the telemetry needed to measure product quality.
• Foster a high-performing team culture through active mentoring, while advocating Google-wide standards in data privacy, security compliance, and testing.