Full Stack Software Engineer, AutoSync
Quick Summary
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.
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
What We Offer
~1 min readOur 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.
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.
Location & Eligibility
Listing Details
- First seen
- March 26, 2026
- Last seen
- June 26, 2026
Posting Health
- Days active
- 91
- Repost count
- 0
- Trust Level
- 33%
- Scored at
- June 26, 2026
Signal breakdown
Please let Autotradercanada know you found this job on Jobera.
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