Senior Software Engineer, Google Kubernetes Engine
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Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages (e.g., Golang, Python, C, C++, Java, JavaScript) and with data structures/algorithms.
- 2 years of experience in a technical leadership role; overseeing projects.
Preferred qualifications:
- Master's degree or PhD in Computer Science or a related technical field.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
- Experience leading, designing, and implementing large-scale 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.
Responsibilities
- Write and test product or system development code.
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Collaborate with cross-functional teams (product management, other engineering groups, and On-Site Support (OSS) community) to make strategic decisions impacting kubernetes evolution towards the best platform for infrastructure orchestration.
- Design and implement solutions that improve performance, scalability, and resource obtainability for the workloads.
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