Artificial intelligence is at the heart of how we design, modernize, and evolve our healthcare solutions. AI tools, models, and practices are advancing at a rapid pace, and we are looking for ambitious, curious developers who can learn quickly and continuously adapt to change.

What you'll do

• Develop and maintain application modules using AI and coding-assistance tools (Copilot, Cursor, Claude Code, etc.) within a technology ecosystem based on C#, .NET, Windows Forms, application services, and Oracle (PL/SQL).
• Troubleshoot and resolve complex issues in a multi-technology environment with multiple system integrations.
• Help modernize and scale the platform: evolve legacy components, optimize Oracle queries and data models, and refactor performance bottlenecks
• Build and extend CI/CD pipelines to automate builds, testing, and deployments
• Participate in code reviews, with a critical eye on AI-generated code
• Keep the end user in mind: what you build is used by medical school staff, faculty, and students, and supports the training of future physicians
• Take ownership of your deliverables from requirement through to production, including testing and documentation
• Work within applicable Canadian privacy standards for student records (e.g., PIPEDA and provincial legislation), supported by the team

How you'll use AI

• Use AI coding assistants (Copilot, Cursor, Claude Code, etc.) every day to generate, complete, and understand code across whatever part of the stack the work requires
• Lean on AI to ramp up fast on unfamiliar technologies and codebases, rather than waiting to build deep single-stack expertise
• Generate and critically evaluate automated tests (unit, integration, end-to-end), judging their relevance and coverage
• Build AI-supported quality gates in the delivery pipeline: automated checks for compliance, accessibility, performance, and security
• Use AI to read, document, and safely modernize legacy code, reducing the risk of change
• Analyze logs, errors, and stack traces with AI alongside profiling tools to accelerate debugging and performance tuning
• Produce and maintain technical documentation with AI tools
• Write precise prompts and iterate; recognize when AI goes off track and take back control
• Quickly adopt a new tool or model when it delivers measurable gains, and share your learnings with the team