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Internet Services, Software, AI, Cloud Computing, Hardware

Software Engineer III, Infrastructure, Google Kubernetes Engine

Sunnyvale, CAOnsiteFull TimeEntry-level (exp-based)$147,000–$210,000 /yrPosted 1 month agoVisa sponsorship available

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Required skills

  • Go
  • Java
  • C++
  • Data Structures
  • Algorithms
  • Large-scale infrastructure
  • Distributed systems
  • Networks
  • Compute technologies
  • Storage

Nice to have

  • Cloud infrastructure
  • Open-source projects

Role summary

Google is seeking Software Engineers to develop next-generation technologies that impact billions of users globally. This role focuses on the Google Kubernetes Engine (GKE) within Google Cloud, a platform accelerating digital transformation for organizations worldwide. The engineer will work on critical projects, contributing to massive-scale systems, distributed computing, and large-scale system design. Responsibilities include developing new systems and tools, collaborating with cross-functional teams, and optimizing customer experience. The position requires strong programming skills, experience with distributed systems and infrastructure, and a background in Kubernetes.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages (e.g., Go, Java or C++), and with data structures and algorithms.
  • 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
  • 1 year of experience with Kubernetes.

Preferred qualifications:

  • Master's degree or PhD in Computer Science, or a related technical field.
  • 3 years of experience in building or managing distributed systems or cloud infrastructure, focusing on Kubernetes.
  • Ability to contribute to Kubernetes or other open-source projects.
  • Excellent communication and people management skills.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:

  • Develop new systems and tools in Go, Python using a variety of internal and OSS frameworks.
  • Work closely with other engineers across GKE and Google to define requirements, share insights, and deliver impactful solutions.
  • Experiment and explore Agentic solutions to solve problems related to test and release excellence.
  • Advocate critical features and releases that span the GCE-GKE stack to meet customer requirements.
  • Partner with cross-functional teams to manage upgrade lifecycles, troubleshoot complex issues, and optimize for customer experience.
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