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Google offers competitive salaries, equity options, generous PTO policies, comprehensive health benefits, and a remote work policy that allows flexibi...
Google is known for its engineering-first culture, emphasizing innovation and collaboration. The company fosters a unique environment that encourages ...

Google • Mountain View, CA, USA
Google is seeking a Senior Software Engineer to develop large-scale infrastructure and machine learning systems. You'll work with Java and contribute to innovative technologies that impact billions of users. This position requires 5+ years of experience in software development and infrastructure.
You have a Bachelor's degree or equivalent practical experience, along with 5 years of experience in software development across various programming languages. Your background includes at least 3 years of experience in testing, maintaining, or launching software products, and you possess a solid understanding of software design and architecture. You have developed large-scale infrastructure, distributed systems, or networks, and have experience with compute technologies, storage, or hardware architecture. Ideally, you hold a Master's degree or PhD in Computer Science or a related technical field, and you have led machine learning infrastructure projects, optimizing and debugging models for at least 5 years.
Your expertise extends to building and deploying recommendation systems models, and you are well-versed in data structures and algorithms. You have spent at least 1 year in a technical leadership role, guiding teams and projects towards success. Additionally, you have experience building applications powered by Large Language Models, showcasing your ability to work with cutting-edge technologies.
As a Senior Software Engineer at Google, you will be part of a team that develops next-generation technologies that change how billions of users connect, explore, and interact with information. You will work on critical projects that require you to ensure best practices in coding, including style guidelines, accuracy, testability, and efficiency. Your role will involve contributing to existing documentation and educational content, adapting it based on product updates and user feedback. You will also be responsible for triaging product or system issues, debugging, tracking, and resolving them by analyzing the sources of issues and their impact on hardware, network, or service operations and quality.
You will collaborate with cross-functional teams, bringing fresh ideas from various areas such as information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile technologies. Your contributions will directly impact the scalability and efficiency of Google's products, ensuring they can handle massive amounts of information and extend beyond traditional web search.
At Google, you will be part of a culture that encourages innovation and collaboration. We provide competitive compensation and benefits, including opportunities for professional growth and development. You will work in an environment that values diversity and inclusion, where your ideas and contributions are recognized and celebrated. Join us in shaping the future of technology and making a difference in the lives of users around the world.
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