About the Role

We are looking for a Senior Full Stack Engineer to drive data engineering, cloud infrastructure optimization, and machine learning integration for our next-gen platform. As a key member of our technical team, you'll leverage data pipelines , AWS cloud services , and cutting-edge machine learning technologies to help scale our data systems and support product initiatives. You will be pivotal in ensuring that our platform is built with performance, security, and data-driven decisions at its core.

Key Responsibilities

• Data Engineering & System Optimization : Design and implement scalable data pipelines for ETL (Extract, Transform, Load), leveraging cloud technologies and ensuring efficient data processing.
• Cloud Infrastructure Management : Optimize and manage AWS cloud infrastructure (EC2, S3, Lambda, RDS) to ensure high availability and reliability of our data systems.
• Machine Learning & Automation : Automate data workflows and integrate machine learning models (TensorFlow, PyTorch) to improve data accuracy, scalability, and efficiency.
• KPIs & Performance Tracking : Define, track, and optimize key performance indicators (KPIs) to measure system performance, data flow, and model efficacy.
• Team Leadership & Mentorship : Collaborate with cross-functional teams, provide mentorship to junior engineers, and lead data-driven decision-making. Review code, guide deployments, and drive innovation in data practices.
• Collaboration with Leadership : Work closely with senior leadership to allocate the right resources, prioritize projects, and ensure smooth communication between technical and non-technical teams.

Key Qualifications

Proficiency in TypeScript , Python , and familiarity with testing frameworks (e.g., Jest , PyTest ).

Why Join Us?

Position : Senior Full Stack Engineer - Data Engineering & Cloud Infrastructure

Location : Remote (Preference for candidates based in Montreal, Canada)

Employment Type : Full-time

Salary : $150,000 - $200,000