Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. Experience with CI/CD and build systems. Experience with Google Cloud, Kubernetes, Docker. Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging. 2 years of experience with data structures and algorithms in either an academic or industry setting. Experience with modern build systems (e.g., Bazel). Familiarity with cloud infrastructure and modern deployment frameworks (e.g., Louhi, Prow, etc.). 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. The Looker Developer Infrastructure and Tooling (DevInfra) team is dedicated to maximizing the efficiency, quality, and velocity of the Looker engineering organization. We build and maintain the core infrastructure, CI/CD pipelines, and advanced tooling powering the entire Software Development Life Cycle (SDLC) for Looker. As we scale, our team is leading the transition to Agentic Development, where human developers delegate mechanical tasks to AI-powered agents. We are inventing next-generation Dev AI capabilities, embedding code assistants and agentic debugging frameworks directly into local developer environments and pipeline automation. 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: $147000 - $211000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.