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, your primary objective will be to advance the schedulability and auto-tuning capabilities of our data processing infrastructure. These optimisations are critical for supporting both massive-scale ML pipelines and standard data processing workloads. 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
- Develop small to medium size data processing features.
- Use AI-tools for developing new data processing capabilities.
- Work with mission critical customers on their schedulability issues.
- Analyze performance data and design data driven solutions.
Qualifications
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 1 year of experience building and developing large-scale infrastructure or distributed systems.
- 1 year of experience with data structures and algorithms.
Preferred qualifications:
- 1 year of experience with distributed systems and scalable infrastructure.
- 1 year of experience with Machine Learning infrastructure.