Job description

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 Cloud AI Data Engineering team! 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 Staff Software Engineer on this team, you will design robust, compliant pipelines handling 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. US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google . • Design and optimize highly scalable batch and streaming data pipelines to efficiently load enterprise data into Gemini Enterprise, ensuring cost-efficiency and data freshness. • Develop high-performance data warehousing solutions, applying best practices in schema design and data modeling to support search, AI models, and analytics. • Implement data governance, quality monitoring, and alerting systems to ensure the ongoing integrity and trustworthiness of the platform's data. • Enforce strict data privacy and security policies, managing access controls and data wipeout procedures for all handled enterprise data. • Partner with Data Scientists, Software Engineers, and Product Managers to define requirements and deliver data infrastructure that drives new product capabilities. • Bachelor's degree or equivalent practical experience. • 8 years of experience programming in C++, Java, Python, Kotlin or Go. • 5 years of experience testing, and launching software products. • 3 years of experience with software design and architecture. • Experience integrating generative AI tools or LLM interfaces into workflows. Minimum qualifications: • Bachelor's degree or equivalent practical experience. • 8 years of experience programming in C++, Java, Python, Kotlin or Go. • 5 years of experience testing, and launching software products. • 3 years of experience with software design and architecture. • Experience integrating generative AI tools or LLM interfaces into workflows. Preferred qualifications: • Master’s degree or PhD in Engineering, Computer Science, or a related technical field. • 8 years of experience with data structures and algorithms. • 3 years of experience in a technical leadership role leading project teams and setting technical direction. • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

Requirements

Must-haves

Join the Cloud AI Data Engineering team! Our team builds the critical data infrastructure, log processing engines, and automated experimentation pipelines that power our executive dashboards and guide product strategy.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Learn more about benefits at Google .
Design and optimize highly scalable batch and streaming data pipelines to efficiently load enterprise data into Gemini Enterprise, ensuring cost-efficiency and data freshness.
Develop high-performance data warehousing solutions, applying best practices in schema design and data modeling to support search, AI models, and analytics.
Implement data governance, quality monitoring, and alerting systems to ensure the ongoing integrity and trustworthiness of the platform's data.
Enforce strict data privacy and security policies, managing access controls and data wipeout procedures for all handled enterprise data.
Partner with Data Scientists, Software Engineers, and Product Managers to define requirements and deliver data infrastructure that drives new product capabilities.
Bachelor's degree or equivalent practical experience.
8 years of experience programming in C++, Java, Python, Kotlin or Go.
5 years of experience testing, and launching software products.
3 years of experience with software design and architecture.
Experience integrating generative AI tools or LLM interfaces into workflows.
Bachelor's degree or equivalent practical experience.
8 years of experience programming in C++, Java, Python, Kotlin or Go.
5 years of experience testing, and launching software products.
3 years of experience with software design and architecture.
Experience integrating generative AI tools or LLM interfaces into workflows.
8 years of experience with data structures and algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

Nice-to-haves

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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Platform: google
Effort: medium