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Job Description

- Strong hands-on experience with Java, Spring Boot, Angular, React, REST APIs, and microservices.
- Develop enterprise self-service portals for data discovery, onboarding, access management, deployment, monitoring, and certification.
- Build responsive UI applications, reusable components, and scalable backend services.
- Integrate enterprise data platforms such as Databricks, DataHub, Unity Catalog, and governance tools.
- Implement authentication, authorization, RBAC, approval workflows, and secure API integrations.
- Experience with Azure DevOps, Git, CI/CD, automated testing, and deployment automation.




- Develop AI-powered conversational interfaces and agentic workflows for enterprise data products.
- Knowledge of GenAI, LLMs, RAG, vector databases, knowledge graphs, and LangChain/LangGraph.
- Experience integrating AI agents with backend APIs, metadata systems, and governed data workflows.
- For Lead Engineers: Expertise in solution architecture, technical design, code reviews, and team leadership. Valuable to Have: Azure OpenAI, Azure AI Search, Neo4j, GraphRAG, and enterprise conversational AI solutions.

📌 Full Stack Engineer – Self-Service (Toronto)
🏢 J&M Group
📍 Toronto