Senior Infrastructure Engineer: Large-Scale Systems

Google

Sunnyvale (CA)

On-site

USD 174,000 - 252,000

Full time

9 hours ago
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Job summary

Google in Sunnyvale, CA is seeking a software engineer to work on projects critical to Google’s needs, with opportunities to switch teams as the company grows. You will develop software for large-scale infrastructure and contribute to distributed systems and AI initiatives.

The role emphasizes leadership, collaboration, and driving architecture decisions across full-stack development, testing, and deployment, with performance and reliability at the forefront.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 5 years of software development experience in C++, C, or Python.
  • 3 years testing, maintaining, or launching software products; 1 year for design/architecture.
  • 3 years developing large-scale infrastructure or distributed systems.

Responsibilities

  • Write and test product or system development code.
  • 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.

Skills

C++
C
Python
Distributed systems
Software design
Testing

Education

Bachelor's degree or equivalent practical experience

Job description

Google in Sunnyvale, CA is seeking a software engineer to work on projects critical to Google’s needs, with opportunities to switch teams as the company grows. You will develop software for large-scale infrastructure and contribute to distributed systems and AI initiatives.

The role emphasizes leadership, collaboration, and driving architecture decisions across full-stack development, testing, and deployment, with performance and reliability at the forefront.

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