Direct message the job poster from Ascendion I may have your next Awesome Job Opportunity || Talent Acquisition || Ascendion 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 collaboration: Work closely with front-end developers, AI engineers, and cloud architects to ensure seamless integration between backend services and AI workflows. Required Skills & Qualifications - Education: Bachelor’s or Master’s in Computer Science, Software Engineering, or a related field. - Experience: 5+ years of experience in backend development with a focus on Java and cloud-based architectures. Technical Proficiency: - Strong proficiency in Java, Kotlin, Spring Boot, and microservices architecture. - Experience with RESTful and GraphQL API development. - Experience with SQL and NoSQL databases such as PostgreSQL, CosmosDB, or MongoDB. - Familiarity with event-driven architectures and message queues (e.g., Kafka, RabbitMQ). - Strong knowledge of authentication and security frameworks (OAuth2, JWT, SAML). - Experience with CI/CD pipelines, containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform, Bicep). Preferred Skills & Experience - AI-Driven Backend Development: Experience integrating backend services with AI and machine learning models. - Vector Databases & Search Optimization: Knowledge of Milvus, Pinecone, or Elasticsearch for AI-powered knowledge retrieval. - GraphQL & Event-Driven APIs: Experience with GraphQL, gRPC, and asynchronous event processing. - Azure Cognitive Services & AI Integration: Understanding of Azure OpenAI, Azure AI Services, and LLM deployment. - Performance Monitoring & Observability: Hands-on experience with Prometheus, Grafana, Azure Monitor, and distributed tracing tools. Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries Technology, Information and Internet #J-18808-Ljbffr