Software Engineer (Full Stack)

Team: Engineering

Location: Waterloo, Ontario, Toronto, Ontario, Ottawa, Ontario

Commitment: Full-Time

Workplace Type: hybrid

Role Overview 

What You’ll Do

• Design and implement full-stack features across M1 SaaS portal from React-based UI components to C# backend services;  

• Contribute to the intuitive workflows including shared navigation, unified theming, and consistent user workflows across products;  

• Build and improve case management capabilities on M1 SaaS portal;

• Write clean, testable code while maintaining a high standard for quality;

• Collaborate with Product, UX, and fellow engineers to break down work, iterate quickly, and deliver customer-focused solutions;  

• Work within a cloud-native SaaS environment — deploying, monitoring, and scaling services on shared SaaS infrastructure;  

• Participate in code reviews, technical discussions, and cross-team coordination to drive innovation and maintainable architecture;  

• Adapt to evolving business and customer needs in a fast-moving, micro-platoon delivery model. 

What We’re Looking For

• 1+ years of relevant professional software engineering experience;  

• You have post-secondary education in software engineering, computer or electrical engineering, computer science, math, or related field;

• Strong full-stack development skills with experience on both front-end and back-end systems;  

• Proficiency with React and modern front-end web development (component design, state management, responsive UI);  

• Experience with C# and building server-side application code (APIs, services, data access); 

• Solid problem-solving skills and a curious, resourceful mindset;

• Experience writing and maintaining automated tests at various levels of abstraction;  

• Ability to work cross-functionally, communicate effectively with technical and non-technical stakeholders, and collaborate in a team environment;  

• Comfortable navigating ambiguity and adapting in a fast-changing environment;  

• You like working in a collaborative environment with smart and passionate people. 

Nice to Have Skills

• Familiarity with AI technologies and workflows (e.g., natural language search, agentic workflows, using AI as part of your development process);  

• Experience with cloud-native systems, distributed services, and SaaS platform development;  

• Familiarity with AWS, Kubernetes, or container-based deployment pipelines;  

• Experience with digital forensics, legal tech, or enterprise SaaS products.

Compensation & Benefits