Staff Software Engineer, Google ads, Maps Monetization

As a software engineer at Google, you will be part of a team developing cutting-edge technologies that impact how billions of users interact with information and each other. Your role will involve working on projects that require expertise in various areas such as information retrieval, distributed computing, system design, networking, security, artificial intelligence, and more. You will have the opportunity to work on critical projects that cater to Google's evolving needs, with the flexibility to switch teams and projects as the business grows. Key Responsibilities: - Lead and mentor a team of engineers, promoting a culture of technical excellence, collaboration, and innovation. - Develop technical goals and a roadmap for the team, aligning with the overall Maps business generation strategy and goals. - Drive the design and implementation of systems to ensure quality and performance. - Identify and solve technical challenges, even those with ambiguous requirements, guiding the team towards effective solutions. - Collaborate with other engineering teams and cross-functional teams to deliver integrated solutions. Qualifications Required: - Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. - 8 years of experience in software development using programming languages such as Python, C, C++, Java, JavaScript. - 3 years of experience in a technical leadership role overseeing projects. About the Company: Google Ads plays a crucial role in powering the open internet with advanced technology that benefits people, publishers, advertisers, and Google itself. The team is responsible for developing various advertising products, including search, display, shopping, travel, and video advertising, along with analytics. By creating trustworthy interactions between individuals and businesses through useful ads, Google Ads contributes to the growth of businesses of all sizes. Additionally, the team enables Google to engage with customers on a large scale. Experience in designing, productionizing, and debugging distributed systems, as well as working on full-stack development and machine learning systems, will be advantageous for this role. The ability to optimize system performance (latency, throughput, efficiency) and ensure reliability is a key aspect of the position. You should also possess the skills to lead challenging infrastructure projects from inception to production deployment and operation.,