Software Engineer III, Infrastructure, AI and Infrastructure

In most instances, this position requires in-person interviews as part of the hiring process.

About the role

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 must handle information at massive scale and extend well beyond web search. Engineers bring fresh ideas from areas such as information retrieval, distributed computing, large‑scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile. 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 the fast‑paced business grow. The Technical Infrastructure team builds and maintains the architecture that powers Google’s services, from data centers to next‑generation platforms, ensuring the best and fastest experience for users. The AI and Infrastructure team delivers AI and infrastructure at unparalleled scale, efficiency, reliability, and velocity, supporting Google Cloud customers, internal Googlers, and billions of users worldwide.

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, and resolve them by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience programming in C++, Python, or Go.
• 2 years of experience 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 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, and 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.

Pay

US: $147,000 – $210,000 (USD) + 15% bonus target + equity + benefits.