Software Engineer III, Google Kubernetes Engine

7 Hours ago • 2-4 Years • Full Stack Development

Job Summary

Job Description

Google is seeking a Software Engineer III to join its Google Kubernetes Engine team in Kraków, Poland. Responsibilities include the full software development lifecycle (design, development, testing, deployment, maintenance, and improvement), managing individual project priorities, collaborating within and across teams, working on cloud technologies designed for large-scale, high-performance, and high reliability, and contributing to both internal Google and open-source projects. The ideal candidate will have experience with data structures, algorithms, large-scale infrastructure, distributed systems, and programming languages such as C, C++, Python, or Go. Preferred qualifications include cloud technologies (VMware, GCP), AI/ML solutions, MLOps frameworks (Kubeflow), and experience with scalable, high-performance, distributed systems.
Must have:
  • Bachelor's degree or equivalent experience
  • 2+ years software development experience
  • 2+ years experience with data structures/algorithms
  • 2+ years experience with large-scale infrastructure or distributed systems
  • Experience with C, C++, Python, or Go
Good to have:
  • Experience with cloud technologies (VMware, GCP)
  • Experience with AI/ML solutions and MLOps frameworks (Kubeflow)
  • Experience architecting and developing software for scalable, high-performance, distributed systems

Job Details

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
  • 2 years of experience with data structures or algorithms in either an academic or industry setting.
  • 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
  • Experience in one or more of the following programming languages: C, C++, Python, Go.

Preferred qualifications:

  • 2 years of experience working with cloud technologies with experience in VMWare, GCP.
  • Experience with building AI and machine learning solutions, MLOps frameworks like Kubeflow, and leveraging specific machine learning architectures (e.g., deep learning, generative AI, forecasting etc.).
  • Experience architecting and developing software or infrastructure for scalable, high performance, distributed systems.

About the job

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.

Responsibilities

  • Engage in and enhance the whole life cycle of software development - design, develop, test, deploy, maintain, and improve software.
  • Manage individual project priorities and deliverables.
  • Collaborate within and across teams and learn, work on cloud technologies designed for large scale, high performance and high reliability.
  • Contribute to Google-internal, but also OSS projects.

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