Description

To design scalable, secure, cloud-native SaaS applications that incorporate AI and data engineering technologies. Serve as a bridge between technical and business teams to define system architecture, cloud strategies, and intelligent, data-driven solutions in both English and Spanish environments

Key Responsabilities:

• Design and architect secure, scalable, high-performance cloud-native SaaS applications
• Lead technical discovery sessions with customers and internal stakeholders in both English and Spanish
• Integrate AI/ML models into software products to enable intelligent automation and predictive features
• Define data pipelines and architecture in collaboration with data engineering teams to support analytics and AI
• Translate business requirements into technical specifications and end-to-end system designs
• Provide architectural guidance throughout the software development lifecycle (SDLC)
• Ensure alignment with best practices in cloud platforms (Azure, AWS, or GCP), security, and DevOps
• Document architectural decisions, diagrams, and technical artifacts in both English and Spanish when necessary
• Collaborate with product, engineering, and sales teams to deliver both client-facing and internal solutions
• App development mobile and web applications

Requirement:

• Advanced English

5-7 Years of experience:

• Experience as a Solutions Architect or in a similar role
• Hands-on experience in architecting SaaS applications using cloud platforms (Azure, AWS, or GCP) At least two of them.
• Solid understanding of data engineering concepts such as ETL/ELT pipelines, data lakes, data warehouses, and streaming
• Familiarity with microservices architecture, serverless computing, containerization (Docker/Kubernetes), and CI/CD pipelines
• Experience communicating effectively with both technical and non-technical stakeholders, in English and Spanish
• Solid understanding of data engineering concepts: ETL/ELT pipelines, Data lakes, Data warehouses and Streaming data
• Familiarity with: Microservices architecture, Serverless computing, Containerization (Docker/Kubernetes, CI/CD pipelines)
• Experience with API design and integration (REST and GraphQL)
• Expertise in architecting SaaS applications using cloud platforms (Azure, AWS, or GCP).

1-3 Years of experience:

• Experience integrating AI/ML models into cloud applications
• Hands-on experience with AI/ML frameworks and integrating models into cloud applications