Software Engineer Iii, Infrastructure, Google Cloud Compute Infrastructure

Google Google · Big Tech · Kirkland, WA +1

Software Engineer III, Infrastructure, Google Cloud Compute Infrastructure. This role is part of the AI and Infrastructure team, which empowers Google customers with AI and Infrastructure at scale. The team is responsible for Google's groundbreaking innovations, delivering computing power to global services, and providing platforms for developers. The role involves writing and testing product or system development code, participating in design reviews, reviewing code, contributing to documentation, and triaging/debugging system issues. Requires a Bachelor's degree, 2 years of experience in C++, Go, or Python, and 2 years of experience in large-scale infrastructure, distributed systems, networks, or compute technologies. Preferred qualifications include a Master's/PhD, experience with performance analysis, and machine learning infrastructure.

What you'd actually do

  1. Write and test product or system development code.
  2. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  3. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  4. Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  5. 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

Required

  • C++
  • Go
  • Python
  • large-scale infrastructure
  • distributed systems
  • networks
  • compute technologies
  • hardware architecture

Nice to have

  • performance
  • large-scale systems data analysis
  • visualization tools
  • debugging
  • machine learning infrastructure

What the JD emphasized

  • large-scale infrastructure
  • distributed systems
  • networks
  • compute technologies
  • machine learning infrastructure