Senior Cloud Devops Engineer – Aws, Kubernetes, Argo

Werben Hr; Quilmes; Presencial; ARS 181.747.000 - 272.620.000; Tempo integral

Resumo da vaga

Google Cloud Consulting Professional Services is seeking a Senior Cloud AI Engineer to lead GenAI solution deployments for strategic customers across the globe. You will help develop, deploy, and manage custom AI solutions while collaborating with cross-functional teams.

The role requires experience in Python, cloud architecture, and agent frameworks, with strong English communication for global coordination.

Qualificações

• Bachelor's degree in Computer Science, related field, or equivalent practical experience.
• 6 years of experience in software engineering, cloud architecture, or technical consulting, incl. 2 years deploying production GenAI apps.
• Experience in Python and cloud computing principles (serverless, virtualization, secure networking).
• Experience building and orchestrating agents using ADKs or frameworks (LangChain, LlamaIndex, AutoGen).
• Ability to communicate in English fluently with global teams.

Responsabilidades

• Guide customers through cloud AI journeys and help shape AI/ML solutions.
• Develop, deploy, and manage custom AI solutions for strategic clients.
• Collaborate with Google Cloud Consulting Professional Services teams on critical projects.

Conhecimentos

Python

Cloud architecture

ADKs/LangChain/LlamaIndex/AutoGen

English communication

Formação

Bachelor's degree in Computer Science or related field

Master's degree in Computer Science/AI (preferred)

Ferramentas

LangChain

LlamaIndex

AutoGen

Descrição da vaga

Senior Cloud AI Engineer, Google Cloud (English)

Location: Mexico City, CDMX, Mexico; Buenos Aires, Argentina

Level: Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mexico City, CDMX, Mexico; Buenos Aires, Argentina.

Minimum qualifications:

• Bachelor's degree in Computer Science, related field, or equivalent practical experience.
• 6 years of experience in software engineering, cloud architecture, or technical consulting, including 2 years of experience deploying production Generative AI (GenAI) applications.
• Experience in Python and cloud computing principles (serverless, virtualization, secure networking).
• Experience building and orchestrating agents using Agent Development Kits (ADKs) or frameworks (LangChain, LlamaIndex, AutoGen).
• Ability to communicate in English fluently to communicate with global teams.

Preferred qualifications:

• Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• Relevant Google Cloud certifications, such as Professional Cloud Architect or Professional Machine Learning Engineer.
• Experience deploying enterprise GenAI platforms (Gemini Enterprise), with deep understanding of AI security, governance, and compliance standards.
• Experience leveraging Large Language Model (LLMs) to deploy enterprise-scale multimodal solutions across text, image, video, and audio.
• Advanced experience implementing scalable RAG architectures connected to external productivity tools and enterprise databases.
• Proven track record leading technical project deployments and engineering teams on large cloud transformations.

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 a Cloud AI Engineer, you will work directly with Google’s most strategic customers on critical projects to help them transform their businesses using AI/ML technologies. You will help customers to develop, deploy, and manage custom AI solutions