Google

Google

Software Engineer ll, Borg

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🌍Warsaw, Poland, Kraków, Poland
10h ago
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Job Description

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 with data structures or algorithms.
  • 1 year of experience building and developing large-scale infrastructure or distributed systems.

Preferred qualifications:

  • Experience with C++ and Linux.

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.

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.
  • Analyze, design, implement, and troubleshoot large scale computer systems.
  • Work with teammates to redesign and refactor existing systems to improve its performance and scalability.
  • Collaborate with other teams to mitigate problems coming from externally visible changes.
  • Improve existing and create new performance tests to verify the quality of our changes and prevent regressions.
  • Query data and metrics to find potential optimization and improvement of resource efficiency.
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