Back End Software Engineer Location: Hybrid - Toronto, Downtown (4 days a week on-site)

A well-established global restaurant group is building a new Node/AWS/Snowflake stack to empower franchise owners and corporate teams with high-quality, real-time, and actionable data insights. The team is focused on developing tools that improve operations and deliver a seamless digital experience for franchisees.

You'll be joining a team supporting the franchisee insights platform - a dashboard that consolidates sales, customer reviews, and performance scorecards. The role involves cleaning up complex data pipelines, transforming Snowflake data with Python, and building APIs in TypeScript.

• Design, develop, and maintain high-performance backend systems and services.

• Build and maintain APIs and data pipelines using TypeScript and Python.

• Troubleshoot and resolve performance and software issues.

• Implement unit, integration, and end-to-end tests.

• Collaborate across teams to deliver franchisee-facing digital tools.

• Review code and improve team engineering standards and deployment practices.

• Stay current on backend and cloud technologies that improve developer and guest experience.
  

• 6+ years of experience in software engineering, building consumer-facing products.

• Strong experience in Node.js (NestJS or Express preferred).

• Proficient in Python and TypeScript.

• Experience with relational databases (MySQL, Postgres, SQL Server).

• Hands-on experience with Snowflake or similar data warehousing platforms.

• Experience deploying to cloud (AWS preferred) with Terraform.

• Familiarity with CI/CD tools (CircleCI, Jenkins, GitHub Actions).

• Understanding of observability tools (Datadog, Cloudwatch, etc).
  

• Experience with time-series data patterns or analytics data pipelines (ETLs, OLAP).

• Exposure to frontend technologies (React, data display frameworks).

• Experience working in a fast-paced product environment with complex data flows.

This is a high-impact opportunity to take ownership of a data-heavy backend system and shape how data drives decisions across a global franchise network.