Senior Cloud Platform Engineer in Brazil, Indiana at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Cloud Platform Engineer based in Brazil.

This role sits at the intersection of cloud infrastructure engineering and AI/LLM systems, with a strong focus on building and scaling agent-based solutions in enterprise environments. You will design and deploy AI agents leveraging Google’s Gemini models and work extensively within Google Cloud Platform, particularly Vertex AI, for model hosting, orchestration, and ML pipelines. The position involves building robust infrastructure for multi-agent systems, tool-calling workflows, and RAG-based architectures integrated with enterprise data sources. You will collaborate closely with technical stakeholders to ensure solutions meet strict enterprise requirements while remaining scalable and secure. The environment is highly technical and complex, requiring strong architectural thinking and the ability to navigate large-scale cloud constraints. This is a high-impact role contributing directly to the evolution of AI-powered enterprise platforms.

• 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.

• 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.

• Competitive compensation aligned with senior-level cloud engineering roles.
• Remote or flexible work arrangement (depending on project needs).
• Opportunity to work on cutting-edge AI agent and LLM infrastructure projects.
• Exposure to advanced Google Cloud and Vertex AI ecosystems.
• High-impact role within enterprise-scale AI transformation initiatives.
• Collaborative environment with experienced cloud and AI engineers.
• Opportunity to shape scalable multi-agent architectures in production.
• Continuous learning in AI, cloud-native systems, and enterprise integration.