Cloud Engineer, Application Modernization, Gemini Enterprise and AI Agents, Google Professional Services ( Spanish, English)
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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.
Minimum qualifications:
- Bachelor's degree in Computer Science or equivalent practical experience.
- Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++).
- Experience in architecting and implementing APIs and integration technologies in distributed enterprise environment(s) using a combination of technologies/languages/standards like REST, SOAP, GraphQL, JSON, OpenAPI, JavaScript, Cassandra, Kubernetes, etc.
- Experience with cloud hosting (e.g., Google Cloud Platform), architectural principles in security, distributed computing, and platform/developer/systems operations such as Linux Administration, Git, Terraform, Ansible, etc.
- Ability to communicate in Spanish and English fluently to support client relationship management in this region.
Preferred qualifications:
- Software development in one or more of the following languages: Golang, C/C++, Node.js, Java, Python, etc. including data structures, algorithms, and software design.
- Experience refactoring monolithic applications to microservices, APIs, or serverless models.
- Experience with DevOps practices, including infrastructure as code, continuous integration, and automated deployment.
- Experience with unit or automated testing tools.
- Experience in implementing API Security and Threat Modeling using SAML Assertion, OAuth 2.0, etc.
- Ability to facilitate development and communication of solutions to technical and business stakeholders, with effective listening, collaboration, consensus formation, critical thinking, and problem solving skills.
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.
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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.