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Google: Software Engineer, Site Reliability Engineering, Google Cloud (Warszawa)

Oferta archiwalna

Software Engineer, Site Reliability Engineering, Google Cloud

Bezpośrednia
  • Google
  • Warszawa
  • 29.08.2025

Podsumowanie oferty:

  • Branża

    AI / Uczenie maszynowe / Data Science
  • Rodzaj umowy

    UoP
  • Doświadczenie

    Mid
  • Technologie i Narzędzia

    Google cloud, Algorithms, Automation, SRE, software development, coding, large-scale system design, distributed systems, optimization, complexity analysis

Opis oferty:

Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google Cloud's services—both our internally critical and our externally-visible systems—have reliability, uptime appropriate to customer's needs and a fast rate of improvement. Additionally SRE’s will keep an ever-watchful eye on our systems capacity and performance. Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the SRE team, you’ll have the opportunity to manage the complex challenges of scale which are unique to Google Cloud, while using your expertise in coding, algorithms, complexity analysis and large-scale system design. SRE's culture of intellectual curiosity, problem solving and openness is key to its success. We encourage collaboration, thinking big and taking risks in a blame-free environment. We promote self-direction to work on meaningful projects, while striving to provide an environment that gives the support and mentorship needed to learn and grow.

Wymagania:

  • Bachelor’s degree in Computer Science, a related field, or equivalent practical experience
  • 2 years of experience with data structures/algorithms and software development in one or more programming languages
  • Master's degree in Computer Science or Engineering preferred
  • 2 years of experience designing, analyzing, and troubleshooting distributed systems

Dodatki i korzyści:

  • Opportunity to manage complex challenges unique to Google Cloud
  • Focus on optimizing existing systems, building infrastructure, and eliminating work through automation
  • Culture of intellectual curiosity, problem-solving, and openness
  • Environment that promotes self-direction, support, and mentorship for learning and growth
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