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Role Overview
As a Backend Engineer, you will be key in building and maintaining Studio AI's core infrastructure. You will work closely with AI engineers, front-end developers, and cloud architects to develop scalable backend solutions using Java, Spring Boot, and Azure cloud services. This role requires expertise in API development, microservices architecture, and cloud-based deployments.
You will be responsible for designing robust and scalable backend services, ensuring seamless integration with AI models, and optimizing system performance for enterprise-scale workloads.
Key Responsibilities
- Backend Architecture & Development: Design, develop, and maintain scalable, high-performance backend systems using Java, Spring Boot, and microservices architecture.
- API & Microservices Development: Build RESTful and GraphQL APIs to support AI-driven content creation, retrieval, and automation workflows.
- Cloud Infrastructure & Deployment:



Deploy and optimize backend services on Azure Cloud, leveraging Azure Kubernetes Service (AKS), Azure Functions, and Azure DevOps pipelines.
- Database & Storage Optimization: Design and maintain efficient SQL and NoSQL databases (e.g., PostgreSQL, CosmosDB) for AI-powered data processing.
- Security & Compliance: Implement enterprise-grade authentication, authorization, and data protection mechanisms using OAuth, JWT, and Azure Active Directory.
- Scalability & Performance Tuning: Optimize API response times, database queries, and caching strategies to support large-scale AI applications.
- AI Model Integration: Work with AI engineers to integrate LLMs, vector search, and machine learning models into the backend pipeline.
- Monitoring & Troubleshooting: Implement observability tools such as Prometheus, Grafana, and Azure Monitor to track system health, performance, and error rates.
- Cross-functional collaborati

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📌 Back End Developer (Colombia)
🏢 Ascendion
📍 Colombia