Software Engineer III, Infrastructure, Google Cloud Compute Infrastructure

Responsibilities

• Write 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.
• - Write 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.

Minimum qualifications:

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.
• 2 years of experience with data structures and algorithms in either an academic or industry setting.
• Experience developing accessible technologies.
• Proficiency in code and system health, diagnosis and resolution, and software test engineering.

Qualifications

• Minimum qualifications: - Bachelor’s degree or equivalent practical experience. - 2 years of experience programming in C++, Python or Go. - 2 years of experience with 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 related technical fields. - 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging. - 2 years of experience with data structures and algorithms in either an academic or industry setting. - Experience developing accessible technologies. - Proficiency in code and system health, diagnosis and resolution, and software test engineering.