Senior Full Stack Engineer
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- Canada
- Permanent
- Temps-plein
- Architect and deliver React applications as the primary frontend framework for new products, from initial project setup through production deployment
- Maintain and extend the existing Angular 17 application - standalone components, reactive forms, RxJS streams, and Angular Material component library
- Build performant, accessible user interfaces that surface AI outputs: streaming chat and RAG response displays, document upload and processing status, and structured data visualization
- Integrate frontend applications with NestJS and FastAPI backends via REST APIs, Server-Sent Events (SSE) for streaming AI responses, and multipart file upload pipelines
- Author unit, component, and integration tests across React (Jest) and Angular (Karma/Jasmine) contexts, maintaining meaningful coverage without being directed to do so
- Instrument frontend applications with Azure Application Insights; own frontend observability, error tracking, and performance monitoring
- Design and implement feature modules in the NestJS middleware layer: DTOs, controllers, services, and providers following established module patterns
- Integrate Azure Cosmos DB, enforce JWT authentication guards, and instrument all new code with OpenTelemetry distributed tracing
- Author and maintain Swagger/OpenAPI documentation for all new and modified endpoints
- Apply parameterized Cosmos DB queries and structured Ogma logging consistently across all contributions
- Contribute production-ready route handlers, Pydantic models, and async service logic to the RAG orchestration service and the doc-parser-api document processing pipeline
- Implement and extend Azure AI Search integrations, embedding pipelines, and document ingestion workflows
- Execute quality gates on all Python contributions: ruff linting, mypy static type checking, pytest with a minimum 80% coverage threshold, and bandit security scanning
- Participate in code reviews across all four repositories; provide substantive technical feedback and uphold Conventional Commits and Semantic Versioning standards
- Leverage agentic coding tools - Claude Code, GitHub Copilot, and their successors - as daily productivity multipliers within a disciplined engineering workflow
- Collaborate with AI/ML engineers, UX designers, and product managers to translate complex AI capabilities into intuitive, production-ready user experiences
- Contribute to architectural decisions spanning state management patterns, API contract design, CI/CD pipeline configuration, and cross-repo dependency management
- 7-10 years of professional software engineering experience delivering production systems at meaningful scale
- React - deep proficiency with hooks, context, and state management libraries (Redux, Zustand, or equivalent); demonstrated ownership of a React codebase from inception through production
- TypeScript - rigorous typing discipline in both frontend and Node.js backend contexts; strong preference for candidates who leverage the type system rather than work around it
- NestJS or an equivalent Node.js backend framework (Express, Fastify) - experience designing RESTful services, middleware, and modular application architecture
- Python - comfortable authoring production-grade FastAPI services with Pydantic data models and async route handlers
- Azure ecosystem - practical experience with managed identity (DefaultAzureCredential), Key Vault, Cosmos DB, Blob Storage, and Application Insights
- Async data patterns - REST, Server-Sent Events, streaming responses, and observable/promise-based data flow across frontend and backend contexts
- Testing discipline across the full stack - Jest, Karma/Jasmine, and pytest; writes tests as an intrinsic part of delivery, not a post-hoc addition
- Git workflow fluency - feature branching, pull request workflows, code review participation, and CI/CD integration
- Proven delivery track record - demonstrable history of shipping features into production environments on schedule
- Angular 17+ - standalone components, RxJS, Angular Material, and route guards
- Azure AI Search, OpenAI API, or hands-on experience designing RAG architectures
- Agentic coding assistants - Claude Code, GitHub Copilot, or equivalent tools used as a genuine workflow accelerant
- OpenTelemetry instrumentation - distributed tracing across polyglot service boundaries
- AI-adjacent UI patterns - LLM streaming interfaces, markdown rendering, document viewers, and file processing pipelines
- Regulated industry exposure - insurance, financial services, or healthcare environments where compliance and auditability shape engineering decisions
- Open-source contributions demonstrating depth of craft