Staff Platform Engineer

Staff Platform Engineer role building core infrastructure for an AI-native platform used by leading e-commerce brands. You'll design and scale backend systems, APIs, and services within a high-growth, remote-first engineering environment.

• Architect and build scalable backend systems, APIs, and services that support platform growth and product innovation.
• Own service boundaries, data models, API contracts, and technical decisions for systems operating in production environments.
• Lead complex backend initiatives from initial design through implementation, deployment, and continuous improvement.
• Design and maintain asynchronous, event-driven architectures using queues, background jobs, and messaging systems.
• Build and optimize data architectures, including schema design, ETL workflows, and storage solutions across relational and document databases.
• Develop and maintain reliable third-party integrations, including authentication, rate limiting, retries, and failure handling strategies.
• Contribute to AI-native engineering practices by effectively using AI coding tools while maintaining ownership of code quality, security, and reliability.
• Partner with engineers, product teams, and stakeholders to translate technical decisions into business outcomes.
• Drive engineering excellence through architecture reviews, mentoring, technical guidance, and adoption of best practices.
• Improve platform scalability, performance, observability, and developer experience as the product ecosystem expands.
• Support rapid delivery cycles by making pragmatic technical decisions aligned with customer impact.

• 6+ years of experience building and maintaining large-scale software applications, with recent experience operating at a Staff Engineer, Lead Engineer, or equivalent individual contributor level.
• Proven experience architecting backend systems that support multiple teams and production workloads.
• Strong expertise with backend development using Node.js and TypeScript, or comparable modern backend technologies.
• Experience designing APIs, service architectures, and scalable data models.
• Experience building asynchronous and event-driven systems using queues, workers, and messaging patterns.
• Strong understanding of databases and data architecture, including PostgreSQL, MongoDB, or similar technologies.
• Experience owning complex technical projects from concept through production delivery.
• Experience integrating third-party platforms and managing reliability challenges at scale.
• Experience building or integrating LLM-powered features, AI workflows, or intelligent product capabilities.
• Strong AI-assisted development experience using tools such as Claude Code, Cursor, GitHub Copilot, or similar solutions.
• Ability to evaluate AI-generated outputs critically and maintain high engineering standards.
• Experience mentoring engineers, leading design discussions, and improving development practices.
• Comfortable working in a fast-paced startup environment with evolving priorities and high autonomy.
• Excellent written and verbal communication skills, with the ability to explain technical concepts clearly.
• Ability to work with significant overlap during Eastern Time working hours.
• Experience with cloud platforms such as Azure or similar environments is considered an asset.
• Experience in adtech, martech, marketing technology, or creative analytics is a plus.
• Founder or founding-engineer experience is considered a bonus.

• Competitive compensation package with a base salary range of CAD $200,000-$250,000.
• Equity participation for all employees.
• Comprehensive health benefits starting from the first day.
• Monthly health and lifestyle allowance.
• 20 paid vacation days per year.
• $1,500 work-from-home setup stipend.
• Remote-first work environment with flexibility across Canada.
• Optional office hub access for employees who prefer in-person collaboration.
• Regular in-person engineering, product, and design build weeks every two months.
• Annual company retreat and opportunities to connect with teammates.
• Opportunity to work on innovative AI-powered technology at significant scale.
• High-ownership culture focused on autonomy, collaboration, and impactful delivery.