Software Engineer II, Google Cloud

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 Distributed Cloud aims to deliver solutions for a subset of very large customers with strict regulatory requirements to address a huge opportunity for Google Cloud. In this role, you will have the opportunity to join the Virtual Machine (VM) team—a critical and central cog in the infrastructure—to help build the product early in its lifecycle and make a big impact.

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.

• Design and develop skills to build features to enable more effective deployment and operation of Google Distributed Cloud (GDC) air-gapped.
  
• Review design documents and code written by other engineers, and provide feedback to ensure best practices. Work with partner teams to accelerate development and delivery of the platform.
• Collaborate with other engineers, Product Managers (PMs), and Technical Program Managers (TPMs) to deliver a high-quality system.
• Contribute to existing documentation or educational content, and adapt content based on product/program updates and user feedback.
• Triage product or system issues, and debug, track, and resolve them by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Leverage AI to carry out core responsibilities effectively.

Minimum qualifications:

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

Preferred qualifications:

• Master's degree in Computer Science, or a related technical field.
• Experience with programming in Go.
• Experience with Kubernetes or container orchestration frameworks.
• Experience with Cloud platforms (GCP etc.).