Software Engineering Manager - Fintech

AutoTrader.caToronto, ON
CA$140,000 - CA$190,000

About The Position

This role will be within our Collateral Management (CMS) team, a national tech solution that boosts lien and registration services, recovery services, and insolvency management solutions for Canadian Lenders. AutoScout24 is modernizing a critical, real-world domain where software decisions directly reduce operational friction and unlock new business opportunities. We’re looking for an Engineering Manager to build and lead a full-stack team reimagining auto repossession systems—making them smarter, more automated, and increasingly AI-assisted. This role is for someone who thrives in fast-moving environments with ambiguity, asks sharp questions early, and leads through clarity, trust, and technical judgment. You won’t just run a team—you’ll multiply its impact.

Requirements

  • 2+ years leading engineers as an Engineering Manager or Tech Lead
  • You measure success by how effective your team becomes
  • You 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

  • You’ll own a meaningful problem space, not just a team
  • You’ll have room to shape systems, culture, and technical direction
  • You’ll work with peers who value judgment, curiosity, and impact
  • You’ll apply AI where it actually matters—to reduce toil and increase leverage, not for demos
  • If you’re an Engineering Manager who wants to build leverage through people, systems, and smart use of AI, operate comfortably in ambiguity, and stay close enough to the work to influence quality—this role is built for you.

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—not just complete tickets
  • Transform engineering teams to be curious about the problems they solve and the outcomes to reach
  • 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 your 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 for yourself and your team

Benefits

  • 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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