Principal Engineer, Autonomous Cloud
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- 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
Minimum qualifications:
- Bachelor's degree in Computer Science, Mathematics, or other relevant engineering discipline, or equivalent practical experience.
- 15 years of experience working as a technical software engineering leader.
- Experience with technical innovation within cross-functional engineering environments.
Preferred qualifications:
- Master's degree or PhD in Computer Science, Mathematics, or other relevant engineering discipline.
- Experience successfully producing software products and large-scale distributed systems.
- Strong expertise building Gen AI, ML products, agent frameworks, agent protocols (e.g., MCP, A2A), RAG, prompt engineering, and evals.
About the job
The AI space is evolving rapidly with newer and powerful models, agent frameworks, protocols, and security. We are imagining a cloud that configures, optimizes, and secures itself — without human intervention. The Autonomous Cloud represents the next generation of computing — where the cloud doesn’t just host data and applications but also manages and improves itself in real time. As a Principal Engineer of Autonomous Cloud, you will strategize, build, and transform how enterprise customers consume and manage their businesses in the cloud. You will build Google Autonomous Cloud in a manner which is compliant, enterprise ready and built for scale. This Uber Tech Lead (UTL) role will be responsible for the defining the usage of foundational models, agentic infrastructure, agentic protocols, evaluation, optimization and innovation. This role will be responsible for driving, deciding, and landing the technical roadmap for these initiatives.
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 $307,000-$427,000 + 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 benefits at Google.
Responsibilities
- Provide architecture and technical direction for the team by being an expert in Gen AI and model production.
- Strategize and create the technical roadmap for building agentic, LLM powered, contextual cloud assistance products, platforms, and tooling to transform the Google Cloud application experiences.
- Influence, guide, mentor, and direct multiple engineering technical leads across each product area.
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