Senior Software Engineer, Infrastructure, Google Cloud Storage

Socket.dev

New York (NY)

On-site

USD 174,000 - 252,000

Full time

3 days ago
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Job summary

Google in the United States seeks experienced software engineers to work on next-generation systems and infrastructure. You will contribute to projects spanning information retrieval, distributed computing, data storage, security, and AI, with opportunities to switch teams as the company scales.

Google Cloud delivers enterprise-grade solutions across 200+ countries, leveraging cutting-edge technology. Individual pay includes salary, bonus targets, and equity, with comprehensive benefits.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in C++.
  • 3 years of experience with large-scale infrastructure, distributed systems, or compute/storage hardware architecture.

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 and provide feedback to ensure best practices (style, accuracy, testability, efficiency).
  • Contribute to existing documentation or educational content and adapt content based on updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing sources of issues and impact on hardware, network, or service operations.

Skills

C++ development
Distributed systems
Large-scale infrastructure
Hardware architecture

Education

Bachelor's degree or equivalent

Job description

Minimum qualifications:
  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in C++.
  • 3 years of experience developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
Preferred qualifications:
  • Master's degree or PhD in Computer Science or a related technical field.
  • 5 years of experience with data structures and algorithms.
  • 1 year of experience in a technical leadership role.
  • Experience developing accessible technologies.
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. 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

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.
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