Google

Compensation

Full Description

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 architecture. * 2 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. * 2 years of coding experience in C++ or Python. PREFERRED QUALIFICATIONS: * Master's degree or PhD in Computer Science or related technical field. * 5 years of experience with data structures and algorithms. * 4 years of experience with statistical data analysis, data mining, and querying (e.g., SQL, MySQL). * 3 years of experience in data analysis and SQL. * Experience developing, integrating and deploying Artificial Intelligence/Machine Learning (AI/ML) systems. * Experience developing accessible technologies. 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. Google Cloud Storage (GCS) provides a dynamic and challenging opportunity for impact as a software engineer, given its scale, architecture, and growth. The GCS Resource Engineering team plays a critical role in supporting the growth, reliability, and efficiency of GCS, with quantifiable impact on feature teams, customers, and the business. In this role, you will have the opportunity to build data pipelines for forecasting demand and supply, develop systems to dynamically estimate capacity, and enable top customers who are depending on GCS to store and serve their data. This is a team at the intersection of software engineering, data science, and distributed systems, where engineers develop and apply a various range of skills and solve engineering problems for GCS. 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. The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google [https://careers.google.com/benefits/]. RESPONSIBILITIES: * Write and test product or system development code. * Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). * Partner with engineering teams across GCS to estimate resource requirements for upcoming features and infrastructure changes. * 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.