AI is at the core of how we build and how we modernize and scale development of our healthcare soluitons. Tools, models, and practices evolve at a sustained pace, and we are looking for ambitious, curious developers who learn fast and adapt continuously.

This is a full-stack role across multiple technologies. We are not looking for someone who wants to specialize in a single language or stack, we want developers who use AI every day to move fluidly across the whole platform.

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

What you'll do

• Full-stack development of new healthcare application modules with AI as your everyday copilot
• Work fluidly across the platform's technologies: JAVA, C# / .NET, and Oracle (PL/SQL), going wherever the work is rather than staying in one lane
• 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