Software Engineering Manager - Fintech

AutoScout24Toronto, ON
CA$140,000 - CA$190,000

About The Position

TRADER, a Canadian leader in digital automotive solutions and part of the AutoScout24 group, is seeking an Engineering Manager to lead a full-stack team within its Collateral Management (CMS) team. This team provides national tech solutions for Canadian Lenders, focusing on lien and registration services, recovery services, and insolvency management. The role involves modernizing auto repossession systems, making them smarter, more automated, and AI-assisted. The ideal candidate thrives in fast-moving, ambiguous environments and can lead through clarity, trust, and technical judgment, aiming to multiply the team's impact.

Requirements

  • 2+ years leading engineers as an Engineering Manager or Tech Lead.
  • Measure success by how effective your team becomes.
  • Take responsibility for outcomes, not just execution.
  • Hands-on experience with full-stack development.
  • Production experience with modern .NET and cloud platforms (AWS preferred).
  • Solid understanding of microservices, distributed systems, and SRE practices.
  • Comfortable getting hands-on when needed—without defaulting to it.
  • Not afraid of legacy systems, and motivated to improve or replace them.
  • High bar for code quality, testing, and system design.
  • Clear, direct communicator with empathy and conviction.
  • Comfortable giving and receiving feedback.
  • Curious, pragmatic, and biased toward action.

Nice To Haves

  • AI and Generative AI for engineering productivity.
  • AI-driven tools into daily workflows.
  • Opportunities to automate repetitive work.
  • Exploring and adopting AI tools.

Responsibilities

  • Build, hire, and grow a team of full-stack engineers working with modern .NET on AWS.
  • Create an environment of trust, psychological safety, and high standards.
  • Coach engineers to take ownership and transform teams to be curious about problems and outcomes.
  • Own delivery end to end: velocity, quality, reliability, and long-term maintainability.
  • Partner tightly with Product, Design, and Data to ship incremental value fast.
  • Reduce manual operational effort and unlock new automation and AI-enabled capabilities.
  • Guide architecture and technical decisions across services and systems.
  • Review PRs, challenge assumptions, and raise the quality bar.
  • Balance short-term delivery with long-term system health.
  • Navigate legacy systems alongside greenfield development.
  • Make progress with imperfect information and help the team do the same.
  • Ask the right questions to turn uncertainty into clarity.
  • Encourage and model the use of AI and Generative AI to improve engineering productivity.
  • Integrate AI-driven tools into daily workflows—code generation, debugging, reviews, documentation, and decision support.
  • Identify opportunities to automate repetitive work and streamline development processes.
  • Take a proactive, hands-on approach to exploring and adopting AI tools that meaningfully improve efficiency and quality.

Benefits

  • Benefits from Day 1
  • Gym discounts
  • Employee and Family Assistance program
  • Weekly virtual wellness events
  • Conferences & training budget
  • Regular internal training programs
  • Competitive salary
  • Annual bonus structure
  • 3% CPP matching
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