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TechDoQuest

Full Stack Engineer

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Dec 2, 2026
Posting language: English
Posted: Nov 2, 2026

Original job description

Role: Full Stack Engineer – Self-Service & Agentic Data Platform

Location: Toronto, Ontario

Duration: Fulltime

Work Type: Hybrid: (3 days office, 2 days remote)

Strong hands-on experience with Java, Spring Boot, Angular, React, REST APIs, and microservices architecture.
Develop enterprise-grade self-service portals for data product discovery, onboarding, access, deployment, monitoring, and certification.
Build responsive frontend applications, reusable UI components, and scalable backend services using client-approved technology standards.
Develop integrations with Databricks, DataHub, Unity Catalog, and enterprise governance platforms.
Experience implementing authentication, authorization, RBAC, approval workflows, and secure API integrations.
Strong understanding of UI/UX design principles, enterprise application architecture, and reusable component development.
Experience with Azure DevOps, Git, CI/CD pipelines, automated testing, and deployment automation.
Develop and integrate AI-powered conversational interfaces and agentic workflows to enable natural-language interaction with enterprise data products.
Knowledge of Generative AI, LLMs, RAG, vector databases, knowledge graphs, ontologies, and frameworks such as LangChain or LangGraph.
Experience integrating AI agents with backend APIs, enterprise metadata systems, and governed data access workflows.
For Lead Engineers: Experience in solution architecture, technical design, code reviews, and guiding development teams.
Good to have: Azure OpenAI, Azure AI Search, Neo4j, GraphRAG, and enterprise conversational AI solutions.

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More about this job

Responsibilities

Develop enterprise self-service portals and responsive applications for data product discovery, onboarding, access, deployment, monitoring, and certification. Build scalable backend services and integrations with data governance platforms, and develop AI-powered conversational interfaces and agentic workflows for governed enterprise data access.

Requirements

Requires hands-on experience with Java, Spring Boot, Angular, React, REST APIs, microservices, secure integrations, and enterprise application architecture. Candidates should also have knowledge of generative AI, LLMs, RAG, and agentic workflows; lead engineers additionally need experience in solution architecture, technical design, code reviews, and team guidance.

Skills

Java
Spring Boot
Angular
React
REST APIs
Microservices
Databricks
DataHub
Unity Catalog
Authentication And Authorization
Role-Based Access Control
Azure DevOps
CI/CD
Generative AI
Large Language Models
Retrieval-Augmented Generation

Visa sponsorship

Not detected in the job text

Keywords

Java
Spring Boot
Angular
React
REST APIs
Microservices
Self-Service Portals
Data Product Discovery
Databricks
DataHub
Unity Catalog
Enterprise Data Governance
Authentication
Authorization
Role-Based Access Control
Approval Workflows
Azure DevOps
Git
CI/CD Pipelines
Automated Testing
Generative AI
Large Language Models
Retrieval-Augmented Generation
Vector Databases
Knowledge Graphs
Ontologies
LangChain
LangGraph
Azure OpenAI
Azure AI Search

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