Full Stack Engineer

Exchange Solutions; Toronto; On-site; CAD 120,000 - 170,000; Full time

Job summary

Exchange Solutions in Toronto is seeking a Senior Full-Stack Engineer to own end-to-end development of our AI-driven loyalty platform. You will work across a Next.js/React frontend and an AWS serverless backend, shaping scalable features for high-volume multi-tenant deployments.

You’ll apply AI-assisted coding tools, contribute to testing, CI/CD, and operations, and mentor peers while collaborating with product, QA, security, and cloud engineers to raise engineering standards.

Qualifications

• Bachelor's degree in CS/Software Engineering or related field.
• 5+ years of full-stack software development experience.
• Expertise in TypeScript, React, and Next.js.
• Strong AWS serverless experience (Lambda, API Gateway, DynamoDB).
• Experience with Infrastructure as Code (CloudFormation, CDK, SAM, or Terraform).

Responsibilities

• Own features end-to-end across the React/Next.js application and AWS serverless platform.
• Use AI coding tools to plan, implement, review, and refine production-ready software.
• Develop scalable, event-driven services for high-volume enterprise loyalty platforms.
• Mentor engineers, conduct code reviews, and contribute to AI governance and engineering standards.

Skills

TypeScript

React

Next.js

AWS serverless

DynamoDB

Infrastructure as Code

AI-assisted coding

Testing

Mentoring

CI/CD

Observability

Multi-tenant SaaS

Education

Bachelor's degree in Computer Science, Software Engineering, or related discipline

Job description

Reports To: Engineering Manager (or Director, Engineering)

Location: Toronto

Type: Full-time

Role Overview

Exchange Solutions is building an AI-first, API-driven loyalty platform supporting high-volume, multi-tenant enterprise retail programs across North America. The Senior Full-Stack Engineer operates within an AI-augmented engineering environment, using agentic development tools such as Claude Code as a core part of the software development lifecycle. This role owns the design, development, testing, deployment, and operational excellence of scalable full-stack solutions across a Next.js/React frontend and serverless AWS backend, while helping establish best practices for AI-assisted software engineering.

Primary Responsibilities

1. AI-Augmented Software Development

• Own features end-to-end across the React/Next.js application and AWS serverless platform.
• Use Claude Code and similar AI coding tools to plan, implement, review, and refine production-ready software.
• Develop effective prompts, validate AI-generated code, and ensure security, quality, and maintainability.
• Promote AI-assisted engineering best practices across the team.

2. Full-Stack Application Development

• Build and maintain TypeScript, React, and Next.js applications.
• Design and implement serverless AWS solutions using Lambda, API Gateway, DynamoDB, and Infrastructure as Code.
• Develop scalable, event-driven services supporting enterprise loyalty platforms.

3. Quality, Testing & DevOps

• Apply unit, integration, and end-to-end testing practices.
• Participate in test-driven development and continuous integration workflows.
• Monitor production systems and support continuous improvement.

4. Technical Leadership & Collaboration

• Mentor engineers and perform high-quality code reviews.
• Collaborate with Product, QA, UX, Security, and Cloud Engineering teams.
• Contribute to engineering standards, architecture discussions, and AI governance.
• Model DynamoDB data effectively using access patterns and single-table design.
• Support Infrastructure as Code using CloudFormation, CDK, SAM, or Terraform.

Capability Requirements - education, skills & experience

• Bachelor's degree in Computer Science, Software Engineering, or related discipline.
• 5+ years of full-stack software development experience.
• Expertise in TypeScript, React, and Next.js.
• Strong AWS serverless experience (Lambda, API Gateway, DynamoDB).
• Experience with Infrastructure as Code (CloudFormation, CDK, SAM, or Terraform).
• Practical knowledge of DynamoDB data modelling and event-driven architectures.
• Experience using AI-assisted coding tools such as Claude Code, Cursor, or GitHub Copilot.
• Strong testing, code review, and software quality practices.
• Experience mentoring developers and collaborating across technical teams.
• Experience with multi-tenant SaaS, CI/CD, observability, loyalty, retail, or high-volume transactional systems is an asset.