Software Engineer, Full Stack, Google Kubernetes Engine UI

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
  
• 1 year of experience with data structures or algorithms.
  

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
  
• Experience with Angular or Kotlin or Kubernetes

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

• Collaborate with engineers on your team, partner engineering teams, product managers and UX designers at scoping, designing, implementing, and launching GKE UI AI/ML products.
• Use object oriented design best practices to model product domain and implement view models in GraphQL. Collaborate with peer engineers on design decisions and code reviews.
• Use best practices in UI engineering to build scalable and performant pages using the Cloud Design System components.