Lead Full Stack Engineer owns design-to-production of an AI-first repossession and remarketing platform. Shape architecture, build scalable resilient services, integrate LLMs/GenAI for validation and document processing, drive technical decisions, reduce technical debt, operate production systems, and mentor engineers while working in cross-functional agile teams.
Canadian time zone work hours.
About the client:
Our customer is the European online car market, with over 30 million monthly users and a presence in 18 countries. As a Lead Full Stack Engineer, you will play a pivotal role in shaping the future of online car markets and enhancing the user experience for millions of car buyers and sellers.
About the role:
We’re looking for a Lead Full Stack Software Engineer who takes end-to-end ownership, thrives in ambiguity, and wants to build systems that matter. This role is central to rethinking and rebuilding our clients’ auto repossession and remarketing platform, a system that directly influences how vehicles are recovered, processed, and remarketed across the big automotive ecosystem. This is an AI-first engineering role—not in name, but in practice. You’ll continuously evaluate where AI (including LLMs and agentic tools) can meaningfully improve engineering velocity, system quality, and operational efficiency, while applying strong judgment about where it should not be used.
You’ll help shape architecture, influence technical direction, and own what you build—from design to production.
Responsibilities:
- Build & Evolve Critical Systems.
- Rethink and reshape core workflows based on a deep understanding of auto repossession and remarketing processes.
- Design and implement scalable, resilient systems using modern architectural principles: clear service boundaries, modularity, and observability.
- Incorporate LLMs and AI-driven components to improve data validation, document processing, and operational decision-making.
- Use AI-assisted and agentic coding tools to accelerate development—while maintaining high standards for correctness, security, and maintainability.
- Own Architecture & Technical Decisions.
- Drive architectural discussions and decisions, balancing pragmatism with technical excellence.
- Set and enforce high-quality bars for new services and modules, with a focus on testability, performance, and reliability.
- Identify and reduce technical debt in ways that measurably improve developer velocity and system robustness.
- Build With an Ownership Mindset
- Work across the full software lifecycle: design, build, deploy, operate, and iterate.
- Embrace a “you build it, you own it” DevOps mindset alongside your team.
- Make thoughtful trade-offs between effort, quality, and user value—always with accountability for outcomes.
- Work closely with product managers, designers, and other engineers in an agile, cross-functional team.
- Contribute ideas, challenge assumptions, and continuously improve how we build software.
- Mentor and support other engineers through code reviews, design discussions, and technical leadership.
Requirements:
- A Lead (7+ years of experience) engineer who owns results, not just implementations.
- Someone who enjoys complex problem-solving and isn’t afraid of legacy systems—or changing them.
- Strong engineering fundamentals: clean code, testing discipline, system design, and performance awareness.
- Strong experience with TypeScript and modern React / Next.js
- Strong experience building production systems with .NET (Core / modern .NET preferred).
- Strong experience building production systems with C#
- Comfort operating in production environments and learning from real-world feedback.
- A builder’s mindset: If you can think it, you can build it. If you build it, you own it.
- Strong must: experience leveraging AI, Generative AI (GenAI) to enhance engineering productivity, automate repetitive tasks, and optimize workflows. You should 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 your teams. A proactive approach to exploring and implementing AI tools that drive innovation and streamline development processes is highly valued
- Canadian time zone work hours
We offer*:
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
*not applicable for freelancers
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