Senior Full Stack Engineer

4h4 hours ago

Flywheel Digital

Toronto, CA · Full-time · C$140,000 – C$160,000

About this role

Flywheel's suite of digital commerce solutions accelerates growth across all major digital marketplaces for the world's leading brands, giving clients access to near real-time performance measurement. As a Senior Full Stack Engineer, you will support our Perpetua product, which focuses on the seller and SMB market segment within the Flywheel portfolio.

In this role, you will contribute to our core platform built primarily with Python, Django, React, TypeScript, BigQuery, and GCP. You will help build scalable systems and intuitive user experiences that power advertising optimization and analytics for thousands of eCommerce brands across Amazon, Walmart, Instacart, and emerging retail media platforms.

We are looking for engineers who embrace modern AI-assisted software development practices and can leverage tools such as Claude Code, Cursor, and GitHub Copilot to accelerate development while maintaining high engineering standards. You will collaborate closely with Product, Design, Data Science, and Engineering teams across the Americas, Europe and APAC.

With teams across the globe, we offer a career with real impact, endless growth opportunities, and the support you need to be the best you can be. Perpetua provides growth optimization and reporting technology for the world’s smartest eCommerce businesses, and you will help shape the future of e-commerce advertising.

Requirements

5+ years of professional software engineering experience building and operating production systems.
Strong experience with Python and modern backend frameworks, preferably Django.
Strong experience building modern web applications with React and TypeScript.
Experience building scalable cloud applications on GCP.
Strong understanding of distributed systems, microservices architecture, and event-driven systems.
Experience working with large-scale data platforms and analytics systems, including BigQuery or similar data warehouses.
Proficiency with relational databases.
Familiarity with AI-assisted development tools such as Claude Code, Cursor, and GitHub Copilot.

Responsibilities

Build and maintain backend services and APIs using Python and Django, as well as customer-facing applications using React and TypeScript.
Design and implement scalable data pipelines that process terabytes of advertising and commerce data.
Develop features across the full stack, from data ingestion and processing to intuitive user interfaces and customer-facing functionality.
Design, build, and optimize data models and analytics workflows using BigQuery and cloud-native technologies.
Contribute to architecture decisions for distributed systems and modern web applications running on Google Cloud Platform (GCP).
Use AI-assisted development tools such as Claude Code, Cursor, and GitHub Copilot to improve productivity, code quality, and engineering velocity.
Participate in technical design discussions, RFCs, code reviews, and mentoring of other engineers.
Continuously improve system reliability, scalability, observability, security, and frontend performance.