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.
In this role, you will advance the schedulability and autotuning capabilities of the data processing infrastructure. You will bridge the gap between infrastructure and the products that rely on it.
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 and develop end-to-end small-to-medium size data processing features.
- Use Artificial Intelligence (AI)-tools for developing new data processing capabilities.
- Work with mission critical customers on their schedulability tests.
- Analyze performance data and design data-motivated solutions.
Qualifications
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 2 years of experience in software development (e.g., C++, Python).
- 2 years of experience with developing large-scale infrastructure, distributed systems or networks.
Preferred qualifications:
- Experience with distributed systems and infrastructure.
- Experience with Machine Learning (ML) infrastructure.
- Experience with data structures and algorithms.