Senior Software Engineer, Infrastructure, Google Distributed Cloud Connected

4 Months ago • 5-8 Years • DevOps • Full Stack Development • $161,000 PA - $239,000 PA

Job Summary

Job Description

As a Senior Software Engineer, Infrastructure, Google Distributed Cloud Connected, you will be responsible for developing and maintaining the infrastructure for Google Distributed Cloud (GDC) connected on-premise Anthos clusters. You will work on a variety of projects, including architecting and developing software for scalable, distributed enterprise systems in the cloud, implementing and leading engineering best practices, and debugging and resolving product or system issues. This role requires a strong understanding of cloud computing, distributed systems, and software development, as well as experience with Linux system administration and Kubernetes. You will be responsible for writing and testing product or system development code, participating in design reviews with peers and stakeholders, and reviewing code developed by other developers. You will also be responsible for contributing to existing documentation or educational content and adapting content based on product/program updates and user feedback.
Must have:
  • Bachelor's degree or equivalent practical experience
  • 5 years of experience with software development
  • 3 years of experience with developing large-scale infrastructure
  • Experience architecting and developing software
  • Experience with Linux system administration
  • Experience implementing and leading engineering best practices
Good to have:
  • Master's degree or PhD in Computer Science or related technical field
  • Experience with Kubernetes and Anthos or Bare Metal
  • Experience with hardware cluster deployments
  • Experience with technical leadership of projects in the Linux environment
  • Experience with fleet management, fleet health monitoring, and rollout systems
  • Proficiency in programming in Golang or C++

Job Details

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages such as C++, Go, or Java.
  • 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
  • Experience architecting and developing software for scalable, distributed enterprise systems in the cloud.
  • Experience with Linux system administration.
  • Experience implementing and leading engineering best practices (e.g., design reviews, code reviews, testing)

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • Experience with Kubernetes and Anthos or Bare Metal.
  • Experience with hardware cluster deployments in telecommunications, enterprise, or retail environments.
  • Experience with technical leadership of projects in the Linux environment.
  • Experience with fleet management, fleet health monitoring, and rollout systems.
  • Proficiency in programming in Golang or C++.

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.

We are the team building the infrastructure for Google Distributed Cloud (GDC) connected on-premise Anthos clusters. Our 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.

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 $161,000-$239,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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 .

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.

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