Full Stack Software Engineer, AutoSync

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.

Learn more at tradercorporation.com.

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 Succe…