Senior Full Stack Developer

Accountabilities:

• Design, develop, and maintain scalable frontend and backend applications using modern frameworks, tools, and architectural patterns.
• Build, integrate, and optimize REST, GraphQL, and other APIs to support secure, reliable, and high-performance systems.
• Apply best practices in code quality, application security, performance optimization, and testing throughout the software development lifecycle.
• Contribute to AI-powered features and intelligent application components, including agent-based workflows and multi-step or multi-agent systems.
• Support the implementation of retrieval-augmented generation (RAG), vector-based data access, and contextual retrieval strategies.
• Collaborate on architectures that support agent orchestration and agent-to-agent (A2A) communication.
• Develop and execute automated testing strategies to improve application reliability, performance, and maintainability.
• Deploy applications through continuous integration and continuous delivery (CI/CD) pipelines, partnering with DevOps teams to support monitoring, scalability, and production readiness.
• Diagnose and resolve complex technical issues across frontend, backend, API, and integration layers.
• Work closely with developers, designers, DevOps specialists, and domain experts to design solutions and deliver product features.
• Participate in code reviews and continuously improve engineering standards, development processes, and technical practices.
• Mentor and support junior developers across frontend, backend, and integration development.

Requirements:

• Bachelor's degree and at least 5 years of relevant professional experience. Equivalent additional directly related experience may be considered in place of a degree.
• Strong experience designing, developing, and maintaining full stack web applications.
• Proficiency with modern frontend frameworks, particularly React, including Context API and Hooks.
• Backend development experience using C#/.NET and JavaScript or TypeScript technologies, such as Node.js, Next.js, and Express.
• Solid understanding of API design, data integration, software architecture, and application performance.
• Experience with geospatial technologies such as ESRI, PostGIS, or Mapbox.
• Demonstrated ability to troubleshoot complex technical problems and deliver effective solutions.
• Strong communication and collaboration skills, including the ability to explain technical concepts clearly to technical and nontechnical stakeholders.
• Experience designing or contributing to agentic systems, including multi-step workflows or multi-agent applications.
• Understanding of RAG patterns, agent orchestration concepts, and agent-to-agent communication models.
• Familiarity with AI development tools and assistants, such as Claude or Cursor.
• A proactive approach to learning, evaluating, and applying emerging technologies.

Preferred Qualifications:

• 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 and deploying AI-driven or agent-based applications in production environments.
• Hands-on experience with multi-agent orchestration, Model Context Protocol (MCP), and standardized access to local and remote data sources.
• Practical experience implementing RAG solutions, including document ingestion, vector storage, and contextual retrieval.

Benefits:

• Annual salary range of CAD $120,411–$210,704.
• Remote work arrangement, subject to the geographic eligibility requirements.
• Opportunities for professional learning, development, and career growth.
• Work on innovative digital solutions addressing water resource management and environmental challenges.
• Potential eligibility for discretionary bonuses, depending on the applicable compensation arrangements.
• Inclusive and supportive work environment with reasonable accommodations available during the application process.