Toronto, On Stack developer (node.js / react) Jobs – 90 Openings This Week

Full Stack Software Engineer, AutoSync
autoTRADER.ca —Toronto, ON
- $100,000–$120,000 a year
- Databases
- AWS
- Continuous improvement
- Employee assistance program
Software Manager
BrightOrder Inc. —Canada
- $115,000–$125,000 a year
- Full-time
- Bilingual
- Computer Science
- Engineering
- Dental care
- Vision care
Quick apply

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Full Stack Software Engineer, AutoSync

autoTRADER.ca -
Toronto, ON

Apply Now

Job details

$100,000–$120,000 a year

Qualifications

Node.js
MCP
React
Full-stack development
Test automation
NoSQL
Git
MongoDB
Databases
Microservices
AWS
Docker
Continuous improvement
Cloud development
PostgreSQL
Distributed systems
Terraform
Redis
New Relic
REST
GitHub
APIs
AI
TypeScript
Python
Software architecture
MySQL
SDLC
Design patterns

Full job description

We are TRADER, a Canadian leader in digital automotive solutions. Our flagship brands — AutoTrader.ca, AutoSync, Dealertrack Canada and CMS — help Canadians buy, sell, and finance vehicles with confidence.

As part of AutoScout24 group, Europe’s largest online car marketplace, we’re shaping the future of automotive retail in Canada and beyond.

This role will be within the AutoSync team. AutoSync supports over 3,500 dealerships nationwide, delivering cutting-edge software tools to simplify operations, boost marketing, and drive sales.

Full Stack Software Engineer

Modern Platform Engineering & AI-First Development

We are looking for a Senior Full Stack Software Engineer to join our organization and help build and modernize large-scale digital platforms and customer-facing applications. This is an opportunity to work on complex modernization initiatives where modern web technologies, cloud-native architectures, and Agentic AI-powered engineering practices are reshaping how software is designed, built, tested, deployed, and operated.

You will be part of a high-performing Agile team delivering scalable solutions while leveraging AI throughout the entire Software Development Lifecycle (SDLC).

What You'll Be Working On

Designing, building, and modernizing large-scale web applications and digital platforms
Developing scalable frontend and backend solutions using modern full-stack technologies
Building and integrating APIs, services, and distributed systems
Delivering cloud-native solutions using AWS and modern platform engineering practices
Implementing observability, monitoring, reliability, and performance optimization strategies
Leveraging AI-assisted development workflows to accelerate delivery and improve quality
Driving engineering excellence through architecture, automation, and continuous improvement

What To Expect

Own solutions end-to-end with a "You Build It, You Run It" mindset, from architecture and development through deployment, monitoring, performance, reliability, and security.
Work in an AI-first engineering environment that leverages Agentic AI for requirements analysis, design reviews, pair programming, code generation, testing, documentation, code reviews, and operational insights.
Collaborate within cross-functional Agile teams, contribute to architecture discussions, share knowledge, mentor peers, and help drive engineering standards and continuous improvement.

Must-Have Experience

5+ years building and operating scalable, highly available software systems in production environments
Strong understanding of software architecture, distributed systems, design patterns, and clean code principles
Expert proficiency with Python/TypeScript, React, Next.js, Node.js, REST APIs, and modern full-stack development practices
Experience building high-performance web applications using SSR, component-based architectures, and modern frontend frameworks
Strong experience with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, and Redis
Experience designing and integrating APIs, microservices, and event-driven systems
Hands-on experience with AWS, Docker, Terraform, CI/CD pipelines, and modern cloud-native development practices
Experience with observability and production operations using tools such as Datadog, New Relic, logging, monitoring, tracing, and incident troubleshooting
Strong testing mindset with experience in automated testing, Playwright, unit, integration, API, and end-to-end testing
Experience working with Git, GitHub Actions, and modern software delivery workflows
Strong ownership mindset with a passion for quality, reliability, performance, and operational excellence
Proven experience using AI-assisted development tools such as GitHub Copilot, ChatGPT, Cursor, Claude, or similar platforms to improve engineering productivity
Experience leveraging AI throughout the SDLC for code generation, testing, debugging, documentation, code reviews, and technical analysis
Familiarity with modern AI frameworks and tooling such as Vercel AI SDK, LangChain, LangGraph, OpenAI SDKs, Anthropic SDKs, MCP (Model Context Protocol), or agent-based development frameworks
Passion for emerging AI engineering practices including Agentic AI workflows, AI-powered SDLC automation, multi-agent systems, and intelligent developer tooling

What Success Looks Like - Successful engineers on this team:

Deliver high-quality software at scale
Leverage AI effectively throughout the SDLC
Contribute to architecture and platform evolution
Continuously improve engineering practices
Help accelerate the organization's transition toward AI-native software development
Build reliable, scalable, and maintainable solutions that create measurable business impact

What's In It For You?

We understand that there is life at work and life outside of work. Here are a few benefits we all benefit from that support us to be our creative best.

Benefits from Day 1

Gym discounts
Employee and Family Assistance program
Virtual wellness events
Conferences & training budget
Regular internal training programs
Financial planning with 3% matching Pension
Competitive salary
Annual bonus structure

Compensation

Our ranges reflect the expected compensation at the time of posting. The final offer may vary and can be higher based on relevant skills, experience, location, and market conditions. Based on the role, the total rewards package may also include benefits, bonus, and other employee offerings.

The base salary range for this position is

$100,000 - $120,000 CAD

Use of Artificial Intelligence in Hiring: We use artificial intelligence (“AI”) in our hiring process, including to screen, assess, or select applicants for this position.

Vacancy Status: This job posting is for an existing vacancy.

Apply Now

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