Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience in back-end development using one of the Object Oriented Programming Languages (e.g., C++). Experience in large-scale distributed systems, infrastructure as a service, and software architecture. Experience with large-scale relational databases (e.g., SQL) and data storage design (e.g., schema, query optimization). Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. Experience designing, developing, and troubleshooting custom replication systems, or caching layers. Experience in back-end services focusing on security, Identity and Access Management (IAM), OAuth, or data privacy compliance. Experience with system reliability practices, including on-call rotations, monitoring/alerting (e.g., Service Level Indicator/Service Level Objective (SLIs/SLOs)), and automated deployment pipelines. Familiarity with AI product integration or leveraging AI tools to optimize software engineering workflows. About the job 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. In this role, you will work on a core system of Google Cloud Platform (GCP) identity. You will work on multiple complex challenges, drive consensus, and build a strong foundation for GCP services. You will have experience on large-scale systems and infrastructure, with an understanding of distributed systems and database infrastructure (e.g., spanner). You will set and keep the technical bar high. You will be responsible for design and implementation of complex, scalable infrastructure components, systems, and features and test coverag. You will be able to identify edge cases, potential bottlenecks, cross team dependencies.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. Responsibilities Contribute to multiple large-scale, distributed infrastructure, working closely with Authentication, Policy, and Site Reliability Engineering (SRE) teams. Design an Implement complex, scalable infrastructure components, systems, and features and rigorous test coverage. 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 in building cloud-scale services: scaling and reliability, risk isolation and resilience, and security.