Full Stack Developer

Location: Vaughan, Ontario

Time Type: Full time

Job Description

We are looking for a forward-thinking Full Stack Developer with 5+ years of experience who is expert at leveraging AI-assisted coding tools to build high-quality software. You will be responsible for the end-to-end development of web and mobile applications, utilizing modern cloud infrastructure and high-performance databases. The ideal candidate treats AI tools (like Claude Code and Gemini) as a force multiplier for productivity and code quality.
Responsibilities

• Full Stack Development: Build and maintain responsive web applications using React or Angular and backend services using .NET.

• Mobile Development: Develop and deploy cross-platform mobile features using React Native.

• AI-Enhanced Workflow: Utilize AI coding assistants (e.g., Claude Code, Gemini, GitHub Copilot) to accelerate development, refactor legacy code, and ensure high test coverage.

• Cloud Infrastructure: Architect and manage containerized services using AWS ECS and AWS Fargate.

• Database Management: Design, optimize, and maintain complex relational data structures in PostgreSQL using SQL.

• Performance & Scale: Identify bottlenecks and optimize application performance at both the UI and database levels.

• Collaboration: Participate in Agile ceremonies and contribute to a culture of continuous learning and technical excellence.

Requirements

• Professional Experience: Proven track record as a Full Stack Developer.

• Frontend/Mobile: Expert proficiency in React or Angular; professional experience with React Native.

• Backend: Strong experience with .NET Core / ASP.NET.

• Database: High proficiency in SQL and PostgreSQL (schema design, indexing, and optimization).

• Cloud & DevOps: Hands-on experience with AWS ECS and Fargate.

• Modern Tooling: Deep familiarity with AI-assisted development workflows (e.g., using LLMs for code generation, debugging, and documentation).

• Testing: Strong focus on automated testing (Unit, Integration, and E2E) to validate AI-assisted output.

• Version Control: Proficiency with Git and collaborative branching strategies.

Preferred Qualifications

• Real-time Data: Experience with Apache Kafka or similar message brokers for event-driven architectures.
• Architecture: Experience transitioning monolithic applications to microservices.
• CI/CD: Experience setting up automated pipelines for containerized deployments.

We thank you for your interest. Only those selected for an interview will be contacted.

GFL is committed to equal opportunity for all, without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. If you are interested in applying for employment and need special assistance or an accommodation to apply for a posted position, please contact [email protected]

Please note that GFL does not provide visa sponsorship for this position. Valid work authorization in the country where the job is located is required. Successful candidates will be required to provide valid documentation confirming their eligibility to work in the country where the job is located prior to their start date.

This hiring process may utilize machine-based systems to assist in screening and assessing applicants. Final selection decisions are made by our recruitment team.