Job DescriptionArtificial 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
QualificationsWhat We're Looking For Above All
Essential- A minimum of 8 years of development experience with C#, .NET, Windows Forms, application services, and Oracle (PL/SQL).
- A fast, self-directed learner who explores, experiments, and continuously improves without requiring step-by-step guidance, and who can quickly adapt as technologies and ecosystems evolve.
- Regular user of AI-powered development tools, with the ability to leverage AI to deliver measurable productivity gains.
- Ability to critically assess and validate AI-generated outputs.
- Intellectual curiosity, an interest in complex systems and architectures, and a genuine desire to understand how things are designed and built.
- Strong foundations in object-oriented programming and algorithmic thinking.
- Excellent communication and collaboration skills:Able to clearly explain your reasoning, seek help when needed, and actively contribute to technical discussions, even in complex situations.
- Values collective intelligence and teamwork to accelerate problem-solving and decision-making.
- Keeps the customer and end user at the center of their thinking and decisions, and maintains a solution-oriented mindset in a constantly evolving environment.
- Interested in growing within a regulated industry environment (digital health).
- Ambitious and motivated to advance and grow their career.
Assets- Experience with the Delphi programming language.
- Strong understanding of build and deployment pipelines.
- Experience developing enterprise-grade B2B solutions.
- Experience with solution architecture and modeling.
- Experience developing AI-enhanced product features or integrating AI models into existing systems.
- Personal projects or open-source contributions involving AI; GitHub activity and experimentation outside of work are highly valued and stand out.
- Knowledge of data integration and messaging standards/protocols (e.g., HL7 v2).
Additional Information 
