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Senior Software Engineer

Job in Toronto, Ontario, C6A, Canada
Listing for: AutoTrader.ca
Full Time position
Listed on 2026-02-28
Job specializations:
  • Software Development
    Software Engineer, Senior Developer, Cloud Engineer - Software, AI Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 CAD Yearly CAD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

We are TRADER, a Canadian leader in digital automotive solutions. Our flagship brands — , Auto Sync, Dealer track Canada and CMS — help Canadians buy, sell, and finance vehicles with confidence. As part of Auto Scout
24 group
, Europe’s largest online car marketplace, we’re shaping the future of automotive retail in Canada and beyond. Learn more at

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

As a Senior Software Engineer, you will play a key technical leadership role within the Auto Sync engineering organization. You will design, build, and evolve scalable backend services and user‑facing features across our product suite.

You will contribute across a polyglot stack that includes PHP (Laravel), .NET Core, Java Script , and Type Script , collaborating closely with product managers, designers, and other engineers to deliver robust, maintainable, and secure solutions.

This role requires a high level of proficiency in using AI tools in day‑to‑day software development. AI‑assisted workflows are not optional—they are an expected part of how we design, implement, test, debug, document, and optimize software. As a senior engineer, you will also help elevate your team’s AI capabilities by modeling effective usage patterns and sharing best practices.

What You Will Do
  • Architect, design, and implement scalable services and product features using PHP (Laravel) and .NET Core
  • Build and maintain frontend features using JavaScript and Type Script
  • Use AI tools extensively for code generation, refactoring, test creation, debugging, performance optimisation, and documentation
  • Critically evaluate AI-generated outputs to ensure correctness, security, maintainability, and alignment with architectural standards
  • Lead technical design discussions and contribute to system and API architecture decisions
  • Own complex features end‑to‑end, from technical design through deployment, monitoring, and iteration
  • Drive improvements in code quality, performance, reliability, and security
  • Write clean, maintainable, and well‑tested code with strong automated test coverage
  • Conduct in‑depth code reviews and mentor engineers through actionable feedback
  • Coach teammates on effective and responsible AI usage in software engineering workflows
  • Collaborate cross‑functionally to translate business requirements into scalable technical solutions
  • Contribute to cloud infrastructure and services (AWS), ensuring high availability and operational excellence
  • Participate in compensated on‑call rotations to ensure platform reliability
  • Champion Dev Ops best practices, CI/CD improvements, and observability standards
  • Identify and lead technical initiatives that improve long‑term platform sustainability
What You Need To Succeed
  • Extensive professional experience in backend software development
  • Strong expertise in PHP and Laravel
  • Solid experience with .NET Core and service‑oriented architectures
  • Proficiency in JavaScript and Type Script for modern frontend development
  • Demonstrated, advanced proficiency using AI tools in day‑to‑day engineering work (code generation, debugging, test automation, documentation, architectural exploration)
  • Strong ability to validate, refine, and product ionise AI‑assisted outputs
  • Experience improving team‑level engineering practices
  • Deep understanding of API design, distributed systems, and scalable architecture patterns
  • Experience working with AWS or similar cloud environments
  • Strong knowledge of CI/CD pipelines and modern Dev Ops practices
  • Experience designing and optimising relational databases and data models
  • Proven ability to independently lead complex technical initiatives
  • Strong problem‑solving skills and ability to navigate ambiguity
  • Clear and effective communication skills
  • Experience leveraging AI, Generative AI (GenAI) to enhance engineering productivity, automate repetitive tasks, and optimise workflows. Demonstrate the ability to integrate AI‑driven solutions into your daily work — such as code generation, debugging, reviews, documentation, and decision support — to improve efficiency for yourself and…
Position Requirements
10+ Years work experience
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