Software Engineering Expert

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. Location: Toronto, ON, Canada Team: AutoSync / Consumer Conversion The opportunity We are looking for a hands-on Engineering Expert who will be: setting technical direction across product boundaries while shaping designs, writing and reviewing production code, debugging difficult problems, and helping teams deliver. You will be the senior engineering authority for the Consumer Conversion domain. This is not a purely advisory or governance role. You will spend meaningful time in the systems and delivery work, turning ambiguous requirements into durable architecture, reducing integration risk, and helping teams move from fragmented delivery to a credible path to production and sustainable operation. What you'll do 1. Shape and implement platform architecture Own the technical shape of domain services and initiatives and its key integrations, covering APIs, data flows, shared services, environments, deployment paths, and operational dependencies. Be hands-on: prototype or implement critical paths, review production code, debug cross-system failures, pair with engineers, and remove technical blockers. Make architecture decisions explicit and pragmatic, balancing scalability, performance, security, privacy, resilience, maintainability, cost, and delivery speed. 2. Lead technical delivery and readiness Translate product goals into complete, testable requirements, technical specifications, acceptance criteria, dependency maps, and clear decision records. Own the technical path to green: clarify the critical path, expose risks early, align decision owners, and make milestone confidence visible through evidence. Drive staging readiness, environment automation, release workflow, rollback planning, production support ownership, and post-launch hypercare. Protect continuity through documentation, pairing, and knowledge transfer as project staffing and ownership change. 3. Establish engineering and operational standards Set a practical definition of done across design, implementation, testing, observability, documentation, rollout, and support readiness. Embed reliability practices through meaningful SLOs, monitoring, alert quality, runbooks, incident learning, data-quality checks, and measurable post-release outcomes. Create reusable patterns and lightweight architecture reviews that reduce fragile coupling, duplicated capability, and unsupported operational knowledge without adding unnecessary process. 4. Multiply engineering capability Coach engineers and technical leads through architecture, coding, debugging, delivery, operational ownership, communication, and decision-making. Make the engineering growth framework concrete through clear expectations, actionable feedback, mentoring, stretch opportunities, and evidence of progression. Help teams adopt AI-assisted engineering safely across coding, reviews, testing, documentation, requirements analysis, and decision support, with appropriate verification and data protection. Create an environment where people can challenge designs, learn from incidents, and contribute across product boundaries; this role influences people but is not defined as a line-management position. 5. Connect technical choices to customer and business outcomes Make complex trade-offs understandable to Product, Design, QA, Data, Sales, Operations, and leadership, and turn decisions into clear action. Align application and portfolio architecture wi…