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Postuler

Publié il y a 9 jours

Full Stack Engineer – Self-Service & Agentic Data Platform

@ J&M Group

Toutes ses offres

Toronto, Ontario

Contrat
Postuler
SIGNAUX

Résumé des exigences :

  • Strong hands-on experience with Java, Spring Boot, Angular, React, REST APIs, and microservices.
  • Experience with Azure DevOps, Git, CI/CD, automated testing, and deployment automation.
  • 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.

Outils et compétences

Oracle JavaSpring BootReactAPI developmentMicroservicesOnboardingDatabricksUnityMicrosoft AzureDevOpsGitCI/CDTest automationLangChain
Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
2026-11-01
Première détection par notre source
2026-11-11
Mise à jour du dossier source
2026-11-11

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Postuler
ChampValeur
Offres sur Jobsy21
Description
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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.

Good to Have: Azure OpenAI, Azure AI Search, Neo4j, GraphRAG, and enterprise conversational AI solutions.

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