Senior Cloud Platform Engineer

New

BrazilFull-TimeSenior

Salary not disclosed

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Job Details

Strong hands-on experience with Google Cloud Platform, especially Vertex AI and related ML services.
Proven experience with Infrastructure as Code tools such as Terraform, Kubernetes, and CI/CD pipelines.
Solid background in designing and operating cloud-native architectures in enterprise environments.
Experience working with AI/ML systems, preferably including LLM-based applications or agent frameworks.
Familiarity with enterprise-scale governance, security, and infrastructure constraints.
Exposure to AWS or Azure cloud platforms is highly desirable.
Experience with tools such as LangChain or LangGraph is a plus.
Understanding of frameworks like AWS Bedrock or Azure Agent Foundry is an advantage.
Strong problem-solving skills and ability to operate in complex, regulated technical ecosystems.
Ability to bridge infrastructure engineering with AI application development.

Design, implement, and maintain cloud infrastructure using Infrastructure as Code (IaC) principles across complex enterprise environments.
Build and deploy AI agents using Google Gemini models and orchestrate workflows through Vertex AI services.
Develop and manage agent architectures, including tool-calling, multi-agent orchestration, and RAG pipelines.
Define and manage cloud environments, ensuring alignment with enterprise governance, security, and operational standards.
Integrate AI systems with enterprise data sources such as BigQuery and external connectors.
Leverage Google’s Agent Development Kit (ADK) and Managed Agents API to scale and operationalize agent systems.
Troubleshoot and optimize system designs to meet performance, security, and infrastructure constraints.
Collaborate with enterprise and platform teams to ensure reliable deployment within regulated cloud environments.

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