Senior Software Engineer, Infrastructure, Google Distributed 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.

As a part of this team, you will build the infrastructure for Google Distributed Cloud (GDC) connected on-premise Anthos clusters as the platform provides a variety of customers including retail and global telecommunications with a managed k8s platform that is located in their data centers, connected to their private network. You will deliver the compute and storage services that support mission-critical workloads for Retail customers as well as Manufacturing customers including Application Specific Machine Learning (ASML).

For information on our announced customer engagements - see https://www.googlecloudpresscorner.com/2023-12-06-McDonalds-and-Google-Cloud-Announce-Strategic-Partnership-to-Connect-Latest-Cloud-Technology-and-Apply-Generative-AI-Solutions-Across-its-Restaurants-Worldwide.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

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).
• 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/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  
• Experience in a Linux/Unix operating system environment.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures and algorithms.
• 1 year of experience in a technical leadership role.
• Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes) in cloud environments.
• Experience in software development using C++ or Go.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Cambridge, MA, USA; Raleigh, NC, USA; Durham, NC, USA.

In most instances, this position requires in-person interviews as part of the hiring process.