Software Engineer III, Infrastructure, Google Cloud AI

Summary

Google is a leading technology company that develops next-generation technologies impacting billions of users. The Software Engineer III, Infrastructure role focuses on designing, developing, testing, and maintaining software solutions critical to Google’s infrastructure and AI capabilities.

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

Skills

• 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
• 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 or 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

Must Haves

• 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

Nice to Haves

• 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 or 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

Benefits

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year