Senior Cloud Transformation Specialist

Há 22 horas


Uberlândia, Minas Gerais, Brasil beBeeTransformation Tempo inteiro R$100.000 - R$140.000

We are seeking an exceptional Senior Cloud Architect to lead the technical design and implementation of transformative capabilities. This role is pivotal in architecting scalable, AI-driven solutions that integrate advanced data processing, intuitive web interfaces, and intelligent automation.

This position demands a strategic leader who thrives in complexity and is deeply committed to cultivating strong stakeholder relationships. You will play a key role in fostering a culture of innovation and collaboration, guiding cross-functional teams to deliver solutions that drive pricing transparency, operational efficiency, and market competitiveness.

The ideal candidate will bring a unique blend of technical depth and strategic foresight, with a proven track record of leveraging cutting-edge technologies to deliver 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
    • Use technologies like GenAI, API, D&A to work closely with Product Managers, automation engineers, and stakeholders across business and 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 closely 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.
Technical Expertise:
  • Cloud Platform Proficiency: Solid experience in architecting, deploying, and managing applications across leading cloud platforms.
  • Embedded Systems and CI/CD: Experience with embedded devices, operating systems, and server-client architecture.
  • Architecture Design: Experience in Microservices and Event-Driven Architecture.
  • .NET Development Skills: Extensive hands-on experience in building scalable, high-performance applications using .NET technologies.
  • Integration with SAP and Salesforce: Demonstrated ability to integrate .NET applications with both SAP and Salesforce platforms.
  • Security and Compliance: Deep understanding of security practices related to cloud-hosted applications.
  • Scalability and High Availability: Proven expertise in designing applications that are highly scalable and resilient.
  • Agile Development Practices: Strong background in Agile methodologies.
  • Strategic Problem Solving and Analytical Thinking: Ability to address complex technical and integration challenges with a strategic mindset.
Benefits:
  • Opportunity to work on cutting-edge projects.
  • Collaborative and innovative work environment.
  • Professional growth and development opportunities.
Requirements:
  • Bachelor's degree in Computer Science or related field.
  • Minimum 5 years of experience in cloud computing.
  • Strong knowledge of cloud services, containerization, and serverless architectures.
  • Experience with agile methodologies and version control systems.
  • Ability to work in a fast-paced environment and meet deadlines.


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