Senior Full Stack Developer
CDM Smith Voir toutes les offres
- Toronto, ON
- Permanent
- Temps-plein
Full Stack & API Development
- Design, develop, and maintain scalable frontend and back end applications using modern frameworks and architectures.
- Build, integrate, and optimize REST, GraphQL, and other APIs to support secure, high performing systems.
- Apply best practices in code quality, security, performance optimization, and testing throughout the development lifecycle.
- Contribute to the design and implementation of AI driven features, including agent based workflows and intelligent application components.
- Support systems that use retrieval augmented generation (RAG), vectorized data access, and contextual retrieval strategies.
- Collaborate on architectures that enable agent orchestration and agent to agent (A2A) communication.
- Develop and execute automated testing strategies to ensure reliability and performance.
- Deploy applications through CI/CD pipelines and partner with DevOps teams to support scalability, monitoring, and production readiness.
- Troubleshoot and resolve complex issues across the application stack.
- Collaborate with developers, designers, DevOps, and domain experts on solution design and feature delivery.
- Conduct code reviews and contribute to continuous improvement of engineering practices.
- Mentor and support junior developers across frontend, backend, and integration work.
- Strong experience designing and developing full stack web applications.
- Proficiency with modern front end frameworks (e.g., React with Context API and Hooks).
- Experience with back end development using C#/.NET and JavaScript/TypeScript (Node.js, Next.js, Express).
- Solid understanding of API design, data integration, and system architecture.
- Experience with geospatial technologies such as ESRI, PostGIS, and Mapbox.
- Demonstrated ability to diagnose and solve complex technical problems.
- Strong communication and collaboration skills, with the ability to explain technical concepts clearly.
- Experience designing or contributing to agentic systems, including multi step or multi agent workflows.
- Understanding of RAG patterns, agent orchestration concepts, and A2A communication models.
- Familiarity with AI development tools and assistants (e.g., Claude, Cursor).
- Proactive mindset toward learning and applying emerging technologies.
#LI-REMOTEGroupTXUPEmployment TypeLocalMinimum Qualifications
- Bachelor's degree.
- 5 years of relevant professional experience.
- Experience with cloud platforms and Kubernetes based environments.
- Knowledge of CI/CD pipelines and automated deployment practices.
- Familiarity with Google Cloud Platform (GCP).
- Experience building AI driven or agent based applications in production.
- Hands on experience with multi agent orchestration, Model Context Protocol (MCP), and standardized agent access to local and remote data.
- Practical experience implementing RAG solutions, including document ingestion, vector storage, and contextual retrieval.