Staff Software Engineer, Full Stack, Google Cloud Business Platform

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. Customer Main is the foundational customer identity and Master Data Management (MDM) platform within Google Cloud Business Platform (GCBP). We build a source of truth system managing multi-millions of Google Cloud enterprise customers and contacts globally. Customer Main is deeply fabricated into the core of how Google Cloud business systems operate and generate business. Nearly all critical enterprise business flow across Google Cloud—marketing, sales, booking, business recognition, financial reporting—relies on Customer Main low-latency serving gateways, stateful cross-system orchestration workflows, and canonical data models. In this role, you will solve enterprise customer identity at Google Cloud's scale and velocity that goes far beyond traditional data storage. Global enterprise conglomerates undergo constant mergers, acquisitions, and reorganizations; there are lots of data quality tests; transact across direct, partner/reseller, and multi-tier commercial topologies; and require consistency across sales, contracting, billing, and financial compliance. Today, we are building next-generation enterprise identity, its lifecycle management, graph-based queries, and AI-powered MDM systems to unify all aspects of Google Cloud customers. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge 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.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 . Lead the technical goal for next-gen enterprise customer identities, partner identities, and monetizer account hierarchies. Build a highly scalable, low-latency platform with rock-solid SLAs to support millions of customers and massive data workloads. Act as the technical bridge across the Google Cloud ecosystem, leading cross-team architecture for end-to-end "lead to cash" business flows. Design and productionize Gemini-powered Master Data Management to drive data intelligence and business growth. Partner with cross-functional leaders to translate ambiguous requirements into durable abstractions. Author design docs, uphold privacy standards, and mentor engineers. Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience testing, and launching software products. 5 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent. 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. Experience architecting B2B customer identity, entity resolution, and commercial hierarchies, or leading large-scale identity platforms (e.g., Cloud, Ads, Payments, Workspace) Experience applying GenAI/ML to entity matching and workflow automation within strict audit and data-privacy constraints (e.g., SOX, GDPR).