Software Engineer III, Infrastructure, Compute Platform

1 Month ago • 2-3 Years • Full Stack Development • $141,000 PA - $202,000 PA

Job Summary

Job Description

This Software Engineer III position focuses on Google's Infrastructure Compute Platform. Responsibilities include writing and testing code, participating in design reviews, code reviews, contributing to documentation, and troubleshooting system issues. The role requires expertise in C++, C, or Python, Linux kernel programming, device bring-up, BSP, and distributed/cloud computing. The engineer will work on critical projects, with opportunities for team and project changes. The ideal candidate will be versatile, display leadership qualities, and embrace new challenges across the full-stack.
Must have:
  • C++, C, or Python proficiency
  • Linux kernel programming
  • Device bring-up and BSP experience
  • Distributed/Cloud computing knowledge
  • Data structures and algorithms expertise
  • Code writing and testing
  • Design and code reviews
Good to have:
  • Master's or PhD in CS
  • Technical leadership experience
  • Experience with accessible technologies
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in C++, C, or Python and with data structures and algorithms.
  • Experience in Linux kernel programming, device bring-up, and BSP.
  • Experience with distributed or Cloud computing.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • 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.

The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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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