Staff Software Engineer, Looker, Cloud Data Analytics

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.

Within Google Cloud, Looker is the core of our Business Intelligence (BI) and analytics platform. Our mission is to reinvent BI by moving it from a descriptive (what happened) tool to a prescriptive and collaborative partner (what should we do next?). We are doing this by deeply infusing Generative AI into the Looker platform. We believe this is a 100x opportunity to change how the world interacts with data. This role is central to that mission, defining how we leverage Looker's unique semantic layer to provide trusted, governed, and conversational data experiences to everyone.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Dive deep into the core Artificial Intelligence (AI) and BI use cases and build easy-to-use and scalable features. Build a robust and scalable systems.
• Collaborate with a team of engineers to develop techniques that improve system performance, efficiency, and scalability.
• Drive end-to-end ownership of critical components, from design and implementation to testing and optimization.
• Be an expert in BI domain. Foster an environment of continuous learning and knowledge sharing.
• Define key tech improvements, driving progress through innovation. Collaborate with cross-functional, cross-geo teams and stakeholders.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience with one or more general purpose programming languages like Java, Python, Go.
• 2 years of experience building AI solutions and experiences.

Preferred qualifications:

• Experience in generative AI agent and machine learning.
• Experience in full-stack development, enterprise software architecture and AI platforms.