Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law. 

About the job

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
 

As an Application Modernization Cloud Engineer, you will work with customers to transform enterprise applications using Gemini Enterprise, Generative AI, and AI Agents. You will assess and modernize application platforms, designing next-generation architectures and migration strategies to Google Kubernetes Engine and cloud-native services. You will guide application redesigns—including AI agent integration, scaling, reliability, continuous rollout, and intelligent monitoring—while partnering closely with Product Management and Engineering to continuously push the boundary of AI-driven cloud solutions. 

In this role, you will be the Google engineer working with Google's most strategic Cloud customers. Alongside the team, you will support customer application assessment and implementation of Google Cloud products through: architecture guidance, best practices, application migration, implementation, troubleshooting, monitoring, and more.  

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. 

Responsibilities

• Serve as a trusted technical advisor to customers on cloud architecture, Gemini Enterprise implementations, and AI Agent integrations.
• Architect and execute end-to-end modernization and application assessment strategies powered by AI tools and generative workflows.
• Design, prototype, and build autonomous AI Agents and generative workflows embedded into client application ecosystems.
• Recommend approaches, architectures, and estimated effort for cloud application migrations, API integrations, and AI Agent deployments.
• Maintain software engineering standards by writing high-quality, modular code, building robust automated tests, and driving repeatable AI agent orchestration patterns.