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Google
Sunnyvale, California, United States
(on-site)
Posted
22 hours ago
Google
Sunnyvale, California, United States
(on-site)
Job Type
Full-Time
Software Engineer, Google Distributed Cloud Compute/Kubernetes
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Software Engineer, Google Distributed Cloud Compute/Kubernetes
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
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.
- Experience developing in Go.
- Experience with Linux and Kubernetes development (e.g., Kubernetes Operators).
- Experience developing and deploying distributed systems software.
- Experience with cloud platforms.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience with data structures and algorithms.
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.
Our core mission involves developing the customer-facing Kubernetes cluster service for Google Distributed Cloud (GDC) air-gapped and building a secure compute infrastructure for Gemini on GDC. We are also focused on creating centralized and uniform cluster lifecycle management for GDCV on both VMware and Bare Metal.
As a software engineer on the GDC Compute team, you will be responsible for constructing a complete end-to-end solution for cluster lifecycle management for Gemini on GDC connected, GDC air-gapped (managed Kubernetes service), supporting the product roadmap.
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.
The US base salary range for this full-time position is $147,000-$211,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Contribute to the development of the GDC compute virtual cluster lifecycle management and deliver cloud infrastructure services that ensure scalability, reliability, and supportability for air-gapped customers and Gemini on GDC.
- Develop the cloud management APIs as the mid-tier for cluster lifecycle.
- Possess knowledge and experiences on kubernetes and Go.
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Requisition #: 75467481270887110
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Job ID: 83073671
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