Full Stack Engineer / Senior Full Stack Engineer

Team: Engineering

Location: Montreal, Quebec (Remote)

Commitment: Full-time

Workplace Type: remote

Core Functions of the Role

Design, build, test, deploy, and maintain full-stack applications that distribute high-value information to our customers.

Develop backend services and APIs using Kotlin/Java, Spring, and related technologies.

Build modern frontend experiences using React, Vite, and TypeScript.

Apply sound component architecture, state-management, asynchronous data-fetching, accessibility, and render-performance practices.

Work with relational and NoSQL databases, Elasticsearch, and large datasets.

Participate throughout the Agile development lifecycle, including sprint planning, design sessions, development, testing, deployment, and continuous improvement.

Collaborate with engineers, product managers, and stakeholders to deliver high-quality client experiences.

Contribute to code reviews, technical design, engineering standards, and improvements to team practices.

About You

2+ years of professional software development experience for mid-level candidates or 6+ years for senior-level candidates.

Strong computer science and software engineering fundamentals through a CS-related degree or equivalent professional experience.

Strong proficiency in Kotlin and Java, with experience building server-side applications using Spring or an equivalent framework.

Strong proficiency building React/Vite applications with TypeScript.

Strong understanding of relational and NoSQL databases, query languages, and data best practices.

Knowledge of HTTP, REST, and API design and development.

Familiarity with state management and asynchronous data-fetching patterns such as TanStack Query.

Attention to frontend component architecture and render performance.

Working knowledge of accessibility standards such as WCAG/ARIA.

Experience with automated testing, including unit and integration/end-to-end testing.

Experience with Git or other source-control software.

AI-Augmented Software Development

AI-assisted development is an important part of how we approach modern software engineering. We are particularly interested in candidates who meaningfully use tools such as Claude Code, OpenAI Codex, GitHub Copilot, or comparable coding agents in their regular workflow.
 
We want engineers who use AI to expand what they can accomplish while retaining responsibility for understanding and validating the result.
Use AI to understand unfamiliar codebases, research technologies, plan implementations, write and modify code, develop tests, debug problems, refactor systems, and automate repetitive work.
Critically evaluate AI-generated solutions, recognize incorrect assumptions, validate implementations, and know when direct engineering investigation is the better approach.
Experience with repository-level agent instructions, reusable agent workflows, MCP integrations, custom tooling, or agentic development processes is a plus.

Additional Experience We'd Value

Experience with some of the following is preferred; we don't expect every candidate to have all of them:
AWS
Terraform or other infrastructure-as-code technologies
Docker or other container technologies
CI/CD pipelines
Elasticsearch or other search technologies
Microservices and distributed systems
Event-driven architectures
Linux, command-line tooling, and Bash
Large-scale or data-intensive applications

For Senior-Level Candidates

Strong system-design and architectural judgment.

Ownership of systems from design through production.

Ability to evaluate scalability, reliability, performance, maintainability, security, and cost tradeoffs.

Ability to diagnose complex problems across distributed systems.

Ability to turn ambiguous requirements into clear technical approaches.

Thoughtful code and design review skills.

Ability to mentor engineers and improve team effectiveness.

• Awesome Extended Health Care Plan
• Dental Care
• Life & Disability insurance
• Health spending accounts
• Unlimited Vacation Leave
• 12 Paid Holidays
• $3,000 Employee Referral Program
• Employer contribution to VRSP
• Rewards and recognition programs