Senior Cloud Solution Architect

Overview

Senior Cloud Solution Architect - Automation

Location: Brazil / Argentina (Remote) • Contract

Job Summary

We are seeking a visionary Automation Senior Cloud Solution Architect to lead the technical design and implementation of a scalable, AI-driven solution that integrates advanced data processing, intuitive web interfaces, and intelligent automation. This role requires a strategic leader who thrives in complexity, cultivates strong stakeholder relationships, and guides cross-functional teams to deliver solutions that drive pricing transparency, operational efficiency, and market competitiveness. The ideal candidate will blend technical depth with strategic foresight and have a proven track record of delivering end-to-end automation at scale. The role will interface with Enterprise Architecture, Business Leaders, Senior Leaders, and Cyber / Privacy / Legal teams.

Key Responsibilities

• Champion Software Excellence & Talent Development. Promote strong SDLC practices including clean architecture, automated testing, and scalable design. Mentor junior developers through code reviews, technical guidance, and collaborative learning to foster a high-performing engineering culture.
• Lead automation use cases architecture using technologies such as GenAI, API, D&A, collaborating with Product Managers, automation engineers, stakeholders across business units, DTS, and Enterprise Architecture.
• End-to-End Platform Development. Build and maintain front-end (React, TypeScript, Next.js) and back-end (Python, FastAPI, Node.js) layers that support GenAI workflows and agentic interactions.
• API & Agent Framework Integration. Design robust REST and GraphQL APIs for real-time agent communication, tool execution, and memory handling. Integrate frameworks such as LangChain, LangGraph, CrewAI, and vector databases (Pinecone, FAISS, Chroma, Weaviate).
• ETL & Data Pipeline Architecture. Architect and optimize ETL pipelines for real-time and batch data processing; ensure seamless data flow between GenAI services, databases, and user interfaces.
• Cloud-Native Deployment & Monitoring. Deploy and scale services using Docker, Kubernetes, and CI/CD pipelines. Apply MLOps best practices for monitoring, versioning, and performance tuning of AI components.
• Cross-Functional Collaboration. Work with AI researchers, product managers, and delivery teams to align technical execution with strategic goals. Participate in multi-agent orchestration experiments and rapid prototyping cycles.

Key Qualifications and Experiences

Technical Expertise :

Cloud Platform Proficiency

• Minimum 5 years of experience architecting, deploying, and managing applications across leading cloud platforms; deep knowledge of cloud services including computing, database management, application development, and integration services.
• Familiarity with cloud-native services (Azure), containerization (Docker, Kubernetes), and serverless architectures.

Embedded Systems and CI / CD

• Experience with embedded devices, operating systems, and server-client architecture. Proficient in CI / CD and DevSecOps practices.

Architecture Design

• Experience in Microservices and Event-Driven Architecture. Understanding of architecture design principles and patterns. Experience with SQL Server, Web Services (SOAP / REST) and API development.

.NET Development Skills

• Extensive hands-on experience building scalable, high-performance applications using .NET technologies (C#, .NET Core, ASP.NET, Entity Framework). Knowledge of web technologies and frameworks such as Blazor or ASP.NET MVC is also important.

Integration with SAP and Salesforce

• Ability to integrate .NET applications with SAP and Salesforce platforms, using APIs and middleware solutions like SAP Process Orchestration or API to facilitate data exchange and workflow orchestration across systems.

Security and Compliance

• Strong understanding of security practices for cloud-hosted applications, implementing secure authentication and authorization (e.g., OAuth, OpenID Connect) and ensuring compliance with relevant industry standards.

Scalability and High Availability

• Designs for highly scalable and resilient applications, leveraging cloud features such as load balancing, auto-scaling, and caching for optimal performance and availability.

Agile Development Practices

• Strong background in Agile methodologies, managing product backlogs, user stories, sprint planning, and releases in a cloud-hosted development environment.

Strategic Problem Solving and Analytical Thinking

• Ability to address complex technical and integration challenges with a strategic mindset, using data-driven decision-making to optimize performance and capabilities.

Specialized Skills: Prototyping

• Ability to engage in rapid prototype development using iterative techniques.

Vendor and Partner Engagement

• Direct experience managing relationships with outsourcing and consulting partners.

Cloud Architecture Design

• Deep understanding of cloud solutions and architectures enabling scalable, flexible, and resilient digital infrastructures that support rapid innovation and development.

Soft Skills and Others

• Agile Collaboration: Experience working with Agile and Product teams, epics, user stories, sprints, and backlog management; ability to collaborate with product owners, engineers, and scrum masters to foster an agile environment.
• Leadership in Communication and Reporting: Skilled in presenting updates and reports to senior leaders and stakeholders, highlighting key metrics and insights.
• Cross-functional Collaboration: Experience coordinating hardware and software development teams and business owners; ability to influence SMEs directly.

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