Googles 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. Were 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.
As a key member of a small and versatile team, you design, test, deploy and maintain software solutions.
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 :
Design, develop, test, deploy, maintain, and improve software.
Manage project priorities, deadlines, and deliverables.
Take on tasks as requested, following through to completion despite roadblocks or distractions.
requirements-expected :
PhD degree in Computer Science or Computer Engineering, a similar technical field of study (e.g., Electrical Engineering, Mathematics, Information Technology), or equivalent practical experience.
Experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
Experience working with data structures or algorithms during coursework/projects, research, internships, or practical experience in school or work (e.g., open-source coding).
